122 lines
4.1 KiB
Python
122 lines
4.1 KiB
Python
"""Neutral preprocessing-set helpers — the "run without calibration" path.
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A neutral pair is a calibration set carrying unit S21 (1+0j) and a reference set
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carrying zero S21. The C++ through-calibrator divides measured/calibration and the
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reference is subtracted, so applying both leaves the measured S21 untouched. That
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lets an operator start the pipeline before any real calibration exists, which the
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required-asset check in `_start_run` would otherwise refuse.
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The shortcut is enabled for verified axes: Kamil ADC's processing grid,
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synchronized multi-device LibreVNA, and the physical single LibreVNA mock.
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"""
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from __future__ import annotations
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import logging
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import time
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import numpy as np
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from python_app.hardware_full.kamil_adc import (
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KamilAdcProcessingParams,
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KamilAdcSweepProcessor,
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)
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from python_app.models.dataset_model import ComboKey, SweepCollection, TraceData
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from python_app.models.run_config_model import ComboModel, RunConfigModel
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logger = logging.getLogger(__name__)
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def supports_neutral_preprocess_sets(config: RunConfigModel) -> bool:
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"""Enable the shortcut only when the emitted frequency grid is verified."""
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return bool(config.is_kamil_adc or config.is_multi_device or (
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config.radar.model == RunConfigModel.LIBREVNA_MODEL and config.radar.driver_mode == "mock"
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))
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def neutral_frequency_grid_hz(config: RunConfigModel) -> np.ndarray:
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"""Derive the neutral axis; the preprocessor verifies it against measured data."""
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if config.is_kamil_adc:
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# Single source of truth for the axis: the same grid the processor emits.
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processor = KamilAdcSweepProcessor(
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KamilAdcProcessingParams.from_kamil_model(config.radar.kamil_adc)
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)
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return processor.grid_hz
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points = int(config.radar.sweep.points)
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if points < 1:
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raise ValueError("Neutral sets require radar.sweep.points >= 1")
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# Mirrors both acquisition paths: the native collector seeds this same linspace
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# and the mock backend generates it outright.
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return np.linspace(
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float(config.radar.sweep.start_hz),
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float(config.radar.sweep.stop_hz),
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points,
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dtype=np.float32,
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)
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def build_neutral_s21_sets(
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config: RunConfigModel,
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) -> tuple[SweepCollection, SweepCollection]:
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"""Build neutral S21 calibration/reference collections for the active radar.
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Covers every combo in the effective matrix, so a matrix radar widened by real
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switches gets a neutral pair for all of its positions and the preprocessor's
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``validate_combos()`` is satisfied. Returns ``(calibration, reference)``.
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"""
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combos = list(config.combos)
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if not combos:
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combos = config.build_runtime_combos()
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if not combos:
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raise ValueError("Neutral sets require at least one switch combo")
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frequency_hz = neutral_frequency_grid_hz(config)
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now_ns = time.monotonic_ns()
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calibration = _neutral_collection(
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combos=combos,
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frequency_hz=frequency_hz,
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s21_value=np.complex64(1.0 + 0.0j),
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monotonic_ns=now_ns,
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)
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reference = _neutral_collection(
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combos=combos,
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frequency_hz=frequency_hz,
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s21_value=np.complex64(0.0 + 0.0j),
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monotonic_ns=now_ns,
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)
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logger.info(
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"Built neutral S21 sets: model=%s combos=%d points=%d",
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config.radar.model,
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len(combos),
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int(frequency_hz.size),
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)
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return calibration, reference
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def _neutral_collection(
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*,
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combos: list[ComboModel],
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frequency_hz: np.ndarray,
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s21_value: np.complex64,
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monotonic_ns: int,
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) -> SweepCollection:
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point_count = int(frequency_hz.size)
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traces = [
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TraceData(
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combo=ComboKey(input=int(combo.input), output=int(combo.output)),
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frequency_hz=frequency_hz.copy(),
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s11=np.zeros(point_count, dtype=np.complex64),
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s21=np.full(point_count, s21_value, dtype=np.complex64),
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)
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for combo in combos
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]
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return SweepCollection(
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collection_id=1,
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monotonic_ns=monotonic_ns,
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traces=traces,
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capture_start_ns=monotonic_ns,
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capture_end_ns=monotonic_ns,
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)
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