init commit
This commit is contained in:
Ayzen
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"""Pipeline runtime lifecycle mixin for the main GUI window."""
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from __future__ import annotations
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import time
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from python_app.gui.runtime.constraints import validate_processing_mode_constraints
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from python_app.gui.runtime.history import build_run_history_signature, record_result_history
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from python_app.hardware_full.librevna_service import LibreVnaService
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from python_app.models.dataset_model import ComboKey, ResultCollection, SweepCollection
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from python_app.models.run_config_model import RunConfigModel
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from python_app.orchestration.shm_reader import ShmRingReader
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class AppWindowPipelineMixin:
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"""Controls start/stop, readers, and periodic polling of pipeline rings."""
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def _start_single_capture(self) -> None:
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"""Start acquisition in single-capture mode."""
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self._start_run(single_capture=True)
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def _start_run(self, *, single_capture: bool = False) -> None:
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"""Start pipeline processes and ring readers."""
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if self._capture_session is not None:
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self._show_error("Cannot start pipeline during active capture sequence")
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return
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if self._supervisor.is_running():
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self._show_error("Pipeline is already running")
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return
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try:
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processor_was_running = self._supervisor.is_processor_running()
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if not processor_was_running:
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self._reset_runtime_history()
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config = self._build_config()
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self._validate_processing_mode_constraints(config)
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run_signature = self._build_run_history_signature(config)
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radar_key = self._radar_key(config)
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if not config.preprocess.calibration_set or not config.preprocess.reference_set:
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raise RuntimeError("Select calibration and reference sets in Preprocessing Panel before Start")
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combo_keys = [ComboKey(input_pos=combo.input, output_pos=combo.output) for combo in config.combos]
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if not self._store.has_combo_coverage(
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"calibration", radar_key, config.preprocess.calibration_set, combo_keys
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):
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raise RuntimeError("Selected calibration set does not cover requested run combos")
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if not self._store.has_combo_coverage(
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"reference", radar_key, config.preprocess.reference_set, combo_keys
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):
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raise RuntimeError("Selected reference set does not cover requested run combos")
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calibration_bundle, reference_bundle = self._config_writer.prepare_bundles(
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self._store,
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radar_key,
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config.preprocess.calibration_set,
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config.preprocess.reference_set,
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)
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config.preprocess.calibration_bundle_path = str(calibration_bundle)
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config.preprocess.reference_bundle_path = str(reference_bundle)
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config.runtime.continuous = not single_capture
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if not single_capture:
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self._prepare_radar_for_native_acquisition(config)
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config_path = self._config_writer.write(config, self._project_root / "python_app/runtime/run_config.json")
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if not single_capture:
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should_reset_history = (
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self._history_run_signature is not None and self._history_run_signature != run_signature
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)
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if should_reset_history:
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self._reset_runtime_history()
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self._log("History reset because run settings changed")
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self._history_run_signature = run_signature
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self._supervisor.start(config_path)
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self._close_readers()
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self._raw_reader = ShmRingReader(config.rings.raw_tap.name)
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self._pre_reader = ShmRingReader(config.rings.preprocessed_tap.name)
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self._result_reader = ShmRingReader(config.rings.results.name)
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self._single_capture_active = single_capture
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self._single_capture_start_ns = None
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self._single_capture_seen_raw = False
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self._single_capture_target_collection_id = None
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self._drop_pending_ring_payloads(include_results=not single_capture)
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if single_capture:
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self._single_capture_start_ns = time.monotonic_ns()
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if single_capture:
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self._status_label.setText("Status: single capture running")
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self._log("Single capture started")
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else:
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self._status_label.setText("Status: running")
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self._log("Pipeline started")
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except Exception as exc: # noqa: BLE001
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self._single_capture_active = False
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self._single_capture_start_ns = None
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self._stop_all_processes()
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self._show_error(f"Failed to start pipeline: {exc}")
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def _apply_radar_settings(self) -> None:
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"""Apply current radar settings by preconfiguring native device."""
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if self._capture_session is not None:
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self._show_error("Finish or abort capture sequence before applying radar settings")
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return
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was_running = self._supervisor.is_running()
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if was_running:
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self._stop_run()
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try:
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if self._radar_mode.currentText() == "native":
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self._refresh_radar_limits_from_device()
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config = self._build_config()
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self._prepare_radar_for_native_acquisition(config)
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self._log("Radar settings applied")
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except Exception as exc: # noqa: BLE001
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self._show_error(f"Failed to apply radar settings: {exc}")
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finally:
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if was_running:
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self._start_run()
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def _prepare_radar_for_native_acquisition(self, config: RunConfigModel) -> None:
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"""Preconfigure native LibreVNA using current sweep settings."""
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if config.radar.driver_mode != "native":
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self._log("Radar pre-configuration skipped (mock mode)")
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return
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radar_service = LibreVnaService(serial=config.radar.serial or None)
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if not radar_service.driver_available:
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raise RuntimeError("LibreVNA Python driver is not available for native pre-configuration")
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try:
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radar_service.open()
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radar_service.configure(config.radar.sweep)
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finally:
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radar_service.close()
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self._log("Radar pre-configured via Python driver")
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def _stop_run(self) -> None:
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"""Stop acquisition-side processes and close readers as needed."""
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was_running = self._supervisor.is_running()
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if was_running:
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self._supervisor.stop_orchestrator()
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self._drain_rings_until_quiet(timeout_s=0.35, poll_s=0.02)
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self._supervisor.stop_preprocessor()
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self._drain_rings_until_quiet(timeout_s=0.25, poll_s=0.02)
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else:
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self._supervisor.stop()
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self._drain_rings_once_for_history()
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keep_results_reader = self._supervisor.is_processor_running()
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self._close_readers(keep_results=keep_results_reader)
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self._single_capture_active = False
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self._single_capture_start_ns = None
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self._single_capture_seen_raw = False
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self._single_capture_target_collection_id = None
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self._update_history_indicator()
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self._status_label.setText("Status: idle")
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if was_running:
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if keep_results_reader:
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self._log("Acquisition stopped (data_processor kept running)")
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else:
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self._log("Pipeline stopped")
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def _stop_all_processes(self) -> None:
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"""Stop all managed pipeline processes and close all readers."""
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was_running = self._supervisor.is_running() or self._supervisor.is_processor_running()
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self._supervisor.stop_all()
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self._drain_rings_until_quiet(timeout_s=0.25, poll_s=0.02)
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self._close_readers(keep_results=False)
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self._single_capture_active = False
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self._single_capture_start_ns = None
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self._single_capture_seen_raw = False
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self._single_capture_target_collection_id = None
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self._update_history_indicator()
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self._status_label.setText("Status: idle")
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if was_running:
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self._log("All pipeline processes stopped")
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def _close_readers(self, *, keep_results: bool = False) -> None:
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"""Close active ring readers."""
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if self._raw_reader is not None:
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self._raw_reader.close()
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self._raw_reader = None
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if self._pre_reader is not None:
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self._pre_reader.close()
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self._pre_reader = None
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if not keep_results and self._result_reader is not None:
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self._result_reader.close()
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self._result_reader = None
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def _poll_rings(self) -> None:
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"""Poll readers, ingest history, and trigger rendering."""
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for report in self._supervisor.collect_crash_reports():
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self._status_label.setText("Status: error")
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self._log(report)
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try:
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if self._raw_reader is not None:
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self._read_all_raw()
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self._read_all_preprocessed()
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result_latest = self._read_all_results() if self._result_reader is not None else None
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self._update_history_indicator()
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if self._single_capture_active:
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if self._finish_single_capture_if_ready(result_latest):
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return
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return
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self._draw_preferred_collection(result_latest=result_latest)
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except Exception as exc: # noqa: BLE001
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self._log(f"Reader error: {exc}")
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def _finish_single_capture_if_ready(self, result_latest: ResultCollection | None) -> bool:
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"""Finalize single capture when new result matching start criteria is available."""
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if not self._single_capture_active:
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return False
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if result_latest is None:
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return False
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if self._single_capture_start_ns is None:
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return False
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if not self._single_capture_seen_raw:
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return False
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if (
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self._single_capture_target_collection_id is not None
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and result_latest.collection_id < self._single_capture_target_collection_id
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):
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return False
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if result_latest.monotonic_ns < self._single_capture_start_ns:
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return False
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if not self._result_collection_has_trace(result_latest):
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return False
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self._draw_results(result_latest)
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self._log("Single capture completed")
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self._stop_run()
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return True
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def _read_all_raw(self) -> SweepCollection | None:
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"""Read available raw collections from raw ring."""
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assert self._raw_reader is not None
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latest: SweepCollection | None = None
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for _ in range(self._max_pop_per_poll):
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collection = self._raw_reader.pop_raw_collection()
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if collection is None:
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break
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self._raw_history.append(collection)
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latest = collection
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if self._single_capture_active and self._single_capture_start_ns is not None:
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if collection.monotonic_ns >= self._single_capture_start_ns:
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self._single_capture_seen_raw = True
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if self._single_capture_target_collection_id is None:
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self._single_capture_target_collection_id = collection.collection_id
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return latest
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def _read_all_preprocessed(self) -> None:
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"""Read available preprocessed collections from preprocessed ring."""
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if self._pre_reader is None:
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return
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for _ in range(self._max_pop_per_poll):
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collection = self._pre_reader.pop_preprocessed_collection()
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if collection is None:
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break
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self._pre_history.append(collection)
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def _read_all_results(self) -> ResultCollection | None:
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"""Read available result collections from results ring."""
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assert self._result_reader is not None
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latest: ResultCollection | None = None
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for _ in range(self._max_pop_per_poll):
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collection = self._result_reader.pop_result_collection()
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if collection is None:
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break
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if self._record_result_history(collection):
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latest = collection
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return latest
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def _record_result_history(self, collection: ResultCollection) -> bool:
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"""Merge collection into result history preserving de-dup semantics."""
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return record_result_history(self._result_history, collection)
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def _drain_rings_once_for_history(self) -> None:
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"""Perform one non-blocking read pass to extend histories."""
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if self._raw_reader is not None:
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self._read_all_raw()
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self._read_all_preprocessed()
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if self._result_reader is not None:
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self._read_all_results()
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def _drain_rings_until_quiet(self, *, timeout_s: float, poll_s: float) -> None:
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"""Drain rings until history sizes stabilize or timeout expires."""
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deadline = time.monotonic() + timeout_s
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stable_rounds = 0
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previous = (
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len(self._raw_history),
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len(self._pre_history),
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len(self._result_history),
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)
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while time.monotonic() < deadline and stable_rounds < 2:
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self._drain_rings_once_for_history()
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current = (
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len(self._raw_history),
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len(self._pre_history),
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len(self._result_history),
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)
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if current == previous:
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stable_rounds += 1
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else:
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stable_rounds = 0
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previous = current
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time.sleep(poll_s)
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def _drain_results_until_quiet(self, *, timeout_s: float, poll_s: float) -> None:
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"""Drain only results ring until size stabilizes or timeout expires."""
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if self._result_reader is None:
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return
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deadline = time.monotonic() + timeout_s
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stable_rounds = 0
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while time.monotonic() < deadline and stable_rounds < 2:
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latest = self._read_all_results()
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if latest is None:
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stable_rounds += 1
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else:
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stable_rounds = 0
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time.sleep(poll_s)
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def _update_history_indicator(self) -> None:
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"""Update UI label with current history buffer sizes."""
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self._history_label.setText(
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f"History: raw={len(self._raw_history)}, "
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f"preprocessed={len(self._pre_history)}, "
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f"results={len(self._result_history)}"
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)
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def _reset_runtime_history(self) -> None:
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"""Reset runtime history and B-scan caches."""
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self._replace_runtime_history(retained_raw=[], retained_pre=[], retained_result=[])
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self._bscan_history_floor_collection_id = 0
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self._clear_bscan_plot_history()
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self._update_history_indicator()
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def _replace_runtime_history(
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self,
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*,
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retained_raw: list[SweepCollection],
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retained_pre: list[SweepCollection],
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retained_result: list[ResultCollection],
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) -> None:
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"""Replace history deques with provided retained tails."""
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raw_tail = retained_raw[-self._raw_history.maxlen :] if self._raw_history.maxlen is not None else retained_raw
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pre_tail = retained_pre[-self._pre_history.maxlen :] if self._pre_history.maxlen is not None else retained_pre
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result_tail = (
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retained_result[-self._result_history.maxlen :]
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if self._result_history.maxlen is not None
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else retained_result
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)
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self._raw_history.clear()
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self._pre_history.clear()
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self._result_history.clear()
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self._raw_history.extend(raw_tail)
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self._pre_history.extend(pre_tail)
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self._result_history.extend(result_tail)
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def _build_run_history_signature(self, config: RunConfigModel) -> tuple[object, ...]:
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"""Build signature used to decide when history should be reset."""
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return build_run_history_signature(config)
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def _validate_processing_mode_constraints(self, config: RunConfigModel) -> None:
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"""Validate processing-mode constraints for run start."""
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validate_processing_mode_constraints(self._processing_mode.currentText(), config)
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