110 lines
4.2 KiB
Python
110 lines
4.2 KiB
Python
"""Helpers for GUI-side runtime history management."""
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from __future__ import annotations
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from collections import deque
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from typing import TypeVar
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from python_app.models.dataset_model import ResultCollection, SweepCollection
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from python_app.models.run_config_model import RunConfigModel
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THistoryCollection = TypeVar("THistoryCollection", SweepCollection, ResultCollection)
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def record_result_history(
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result_history: deque[ResultCollection],
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collection: ResultCollection,
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) -> bool:
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"""Append new result or replace existing entry by stable collection key."""
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for index in range(len(result_history) - 1, -1, -1):
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existing = result_history[index]
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if (
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existing.collection_id == collection.collection_id
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and existing.monotonic_ns == collection.monotonic_ns
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):
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result_history[index] = collection
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return True
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result_history.append(collection)
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return True
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def remove_last_aligned_histories(
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raw_history: list[SweepCollection],
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preprocessed_history: list[SweepCollection],
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result_history: list[ResultCollection],
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) -> tuple[list[SweepCollection], list[SweepCollection], list[ResultCollection]]:
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"""Remove the newest aligned history entry using results as preferred anchor."""
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retained_raw = list(raw_history)
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retained_preprocessed = list(preprocessed_history)
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retained_results = list(result_history)
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if retained_results:
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target_key = _tail_occurrence_key(retained_results, len(retained_results) - 1)
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retained_results.pop()
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_remove_by_tail_occurrence_key(retained_raw, target_key)
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_remove_by_tail_occurrence_key(retained_preprocessed, target_key)
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return retained_raw, retained_preprocessed, retained_results
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if retained_preprocessed:
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target_key = _tail_occurrence_key(retained_preprocessed, len(retained_preprocessed) - 1)
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retained_preprocessed.pop()
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_remove_by_tail_occurrence_key(retained_raw, target_key)
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return retained_raw, retained_preprocessed, retained_results
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if retained_raw:
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retained_raw.pop()
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return retained_raw, retained_preprocessed, retained_results
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def build_run_history_signature(
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config: RunConfigModel,
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) -> tuple[object, ...]:
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"""Build deterministic signature to detect run-settings changes (excluding live processing params)."""
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combos_signature = tuple((int(combo.input), int(combo.output)) for combo in config.combos)
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return (
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str(config.radar.driver_mode),
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str(config.radar.serial),
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float(config.radar.sweep.start_hz),
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float(config.radar.sweep.stop_hz),
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int(config.radar.sweep.points),
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float(config.radar.sweep.if_bandwidth_hz),
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float(config.radar.sweep.power_dbm),
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str(config.input_switch.driver_mode),
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str(config.input_switch.driver),
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int(config.input_switch.positions),
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bool(config.input_switch.invert_logic),
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str(config.output_switch.driver_mode),
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str(config.output_switch.driver),
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int(config.output_switch.positions),
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bool(config.output_switch.invert_logic),
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str(config.preprocess.s21_calibration_set),
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str(config.preprocess.s21_reference_set),
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combos_signature,
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)
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def _tail_occurrence_key(history: list[THistoryCollection], index: int) -> tuple[int, int]:
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"""Return `(collection_id, occurrence_from_tail)` for the item at `index`."""
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collection_id = int(history[index].collection_id)
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occurrence_from_tail = 0
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for cursor in range(len(history) - 1, index, -1):
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if int(history[cursor].collection_id) == collection_id:
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occurrence_from_tail += 1
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return collection_id, occurrence_from_tail
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def _remove_by_tail_occurrence_key(history: list[THistoryCollection], key: tuple[int, int]) -> bool:
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"""Remove newest matching entry identified by `(collection_id, occurrence_from_tail)`."""
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collection_id, target_occurrence = key
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occurrence_from_tail = 0
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for index in range(len(history) - 1, -1, -1):
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if int(history[index].collection_id) != collection_id:
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continue
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if occurrence_from_tail == target_occurrence:
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history.pop(index)
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return True
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occurrence_from_tail += 1
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return False
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