255 lines
11 KiB
Python
255 lines
11 KiB
Python
"""Snapshot and ring-drain helper mixin for the main GUI window."""
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from __future__ import annotations
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from pathlib import Path
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import time
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from PyQt6.QtWidgets import QFileDialog
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from python_app.gui.runtime.history import record_result_history, remove_last_aligned_histories
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class AppWindowSnapshotMixin:
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"""Saves runtime data snapshots and maintains ring-reader freshness."""
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def _save_snapshot(self) -> None:
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"""Save runtime snapshot in numpy-directory format."""
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self._drain_runtime_rings_for_snapshot()
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if not self._raw_history and not self._pre_history and not self._result_history:
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self._show_error("No runtime data is available for save")
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return
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try:
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last_n = int(self._save_count.value())
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output_root = Path(self._save_path_input.text().strip()).expanduser()
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snapshot_name = self._save_name_input.text().strip()
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snapshot_dir, summary = self._store.save_runtime_snapshot_numpy(
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output_root,
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snapshot_name,
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list(self._raw_history),
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list(self._pre_history),
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list(self._result_history),
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last_n,
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)
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self._log(
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f"Saved numpy snapshot: {snapshot_dir} "
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f"(raw={summary.get('raw_count', 0)}, "
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f"preprocessed={summary.get('preprocessed_count', 0)}, "
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f"results={summary.get('result_count', 0)}, "
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f"mode={summary.get('selection_mode', 'unknown')}, "
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f"anchor={summary.get('anchor_stage', 'unknown')}, "
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f"aligned_keys={summary.get('aligned_key_count', 0)}, "
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f"raw_missing={summary.get('raw_missing_count', 0)}, "
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f"pre_missing={summary.get('preprocessed_missing_count', 0)}, "
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f"result_missing={summary.get('result_missing_count', 0)}, "
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f"requested_last_n={last_n})"
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)
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except Exception as exc: # noqa: BLE001
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self._show_error(f"Failed to save snapshot: {exc}")
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def _save_vna_history_json(self) -> None:
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"""Save runtime history as vna_system-compatible JSON file."""
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self._drain_runtime_rings_for_snapshot()
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if not self._raw_history and not self._pre_history and not self._result_history:
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self._show_error("No runtime data is available for save")
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return
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try:
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last_n = int(self._save_count.value())
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input_index = int(self._vna_json_input_index.value())
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output_index = int(self._vna_json_output_index.value())
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output_root = Path(self._save_path_input.text().strip()).expanduser()
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output_name = self._save_name_input.text().strip()
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output_path, summary = self._store.save_runtime_vna_history_json(
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output_root,
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output_name,
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list(self._raw_history),
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list(self._pre_history),
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list(self._result_history),
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last_n,
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input_index=input_index,
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output_index=output_index,
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primary_stage="preprocessed",
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)
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self._log(
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f"Saved VNA history JSON: {output_path} "
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f"(sweeps={summary.get('sweep_count', 0)}, "
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f"raw_records={summary.get('raw_record_count', 0)}, "
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f"preprocessed_records={summary.get('preprocessed_record_count', 0)}, "
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f"raw={summary.get('raw_count', 0)}, "
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f"preprocessed={summary.get('preprocessed_count', 0)}, "
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f"results={summary.get('result_count', 0)}, "
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f"mode={summary.get('selection_mode', 'unknown')}, "
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f"anchor={summary.get('anchor_stage', 'unknown')}, "
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f"input={input_index}, "
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f"output={output_index}, "
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f"requested_last_n={last_n})"
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)
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except Exception as exc: # noqa: BLE001
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self._show_error(f"Failed to save VNA history JSON: {exc}")
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def _remove_last_runtime_history(self) -> None:
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"""Remove the newest runtime measurement from all stages and processor replay state."""
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self._apply_runtime_history_deletion(remove_last_only=True)
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def _clear_all_runtime_history(self) -> None:
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"""Clear all runtime histories, ring backlogs, and processor replay state."""
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self._apply_runtime_history_deletion(remove_last_only=False)
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def _apply_runtime_history_deletion(self, *, remove_last_only: bool) -> None:
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"""Apply destructive runtime-history deletion across readers, caches, and processor replay state."""
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if self._capture_session is not None:
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self._show_error("Cannot modify runtime history during active capture sequence")
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return
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resume_acquisition = self._supervisor.is_running()
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dropped_raw = 0
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dropped_pre = 0
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dropped_results = 0
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history_command = "remove_last" if remove_last_only else "clear_all"
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action_label = "last runtime measurement removed" if remove_last_only else "runtime history fully cleared"
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error_action = "remove last runtime measurement" if remove_last_only else "clear runtime history"
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try:
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if resume_acquisition:
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self._stop_run()
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dropped_raw = self._raw_reader.drop_all() if self._raw_reader is not None else 0
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dropped_pre = self._pre_reader.drop_all() if self._pre_reader is not None else 0
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dropped_results = self._result_reader.drop_all() if self._result_reader is not None else 0
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if remove_last_only:
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retained_raw, retained_pre, retained_result = remove_last_aligned_histories(
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list(self._raw_history),
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list(self._pre_history),
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list(self._result_history),
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)
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else:
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retained_raw = []
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retained_pre = []
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retained_result = []
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self._replace_runtime_history(
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retained_raw=retained_raw,
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retained_pre=retained_pre,
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retained_result=retained_result,
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)
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self._bscan_history_floor_collection_id = 0
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self._clear_history_mode_caches()
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self._write_live_processing_config(history_command=history_command, bump_history_seq=True)
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if self._supervisor.is_processor_running():
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self._drain_results_until_quiet(timeout_s=0.35, poll_s=0.01)
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if self._result_reader is not None:
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dropped_results += self._result_reader.drop_all()
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self._update_history_indicator()
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self._redraw_after_history_deletion()
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self._log(
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f"{action_label}: "
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f"dropped raw={dropped_raw}, "
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f"preprocessed={dropped_pre}, "
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f"results={dropped_results}"
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)
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if resume_acquisition:
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self._start_run()
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except Exception as exc: # noqa: BLE001
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self._show_error(f"Failed to {error_action}: {exc}")
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def _browse_save_path(self) -> None:
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"""Open directory picker for snapshot output path."""
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selected = QFileDialog.getExistingDirectory(
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self,
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"Select Snapshot Directory",
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self._save_path_input.text().strip() or str(self._project_root),
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)
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if selected:
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self._save_path_input.setText(selected)
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def _drain_runtime_rings_for_snapshot(self) -> None:
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"""Drain readers before snapshot to reduce partial-history races."""
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if self._raw_reader is None and self._pre_reader is None and self._result_reader is None:
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return
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try:
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start_raw_count = len(self._raw_history)
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start_pre_count = len(self._pre_history)
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start_result_count = len(self._result_history)
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deadline = time.monotonic() + 1.2
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while True:
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progress = False
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if self._raw_reader is not None:
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for _ in range(self._max_pop_per_snapshot_drain):
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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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progress = True
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if self._pre_reader is not None:
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for _ in range(self._max_pop_per_snapshot_drain):
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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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progress = True
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if self._result_reader is not None:
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for _ in range(self._max_pop_per_snapshot_drain):
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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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record_result_history(self._result_history, collection)
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progress = True
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if progress:
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continue
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raw_count = len(self._raw_history)
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pre_count = len(self._pre_history)
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result_count = len(self._result_history)
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missing_raw = self._raw_reader is not None and raw_count == start_raw_count
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missing_pre = self._pre_reader is not None and pre_count == start_pre_count
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missing_results = self._result_reader is not None and result_count == start_result_count
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got_results = result_count > start_result_count
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got_raw_or_pre = raw_count > start_raw_count or pre_count > start_pre_count
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if got_results and (missing_raw or missing_pre) and time.monotonic() < deadline:
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time.sleep(0.01)
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continue
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if got_raw_or_pre and missing_results and time.monotonic() < deadline:
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time.sleep(0.01)
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continue
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if (
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self._result_reader is not None
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and max(raw_count, pre_count) > result_count
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and time.monotonic() < deadline
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):
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time.sleep(0.01)
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continue
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break
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except Exception as exc: # noqa: BLE001
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self._log(f"Snapshot drain warning: {exc}")
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def _drop_pending_ring_payloads(self, *, include_results: bool = True) -> None:
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"""Drop unread payloads from active readers."""
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dropped_raw = self._raw_reader.drop_all() if self._raw_reader is not None else 0
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dropped_pre = self._pre_reader.drop_all() if self._pre_reader is not None else 0
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dropped_results = 0
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if include_results and self._result_reader is not None:
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dropped_results = self._result_reader.drop_all()
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if dropped_raw or dropped_pre or dropped_results:
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self._log(
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"Single capture ring reset: "
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f"dropped raw={dropped_raw}, "
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f"preprocessed={dropped_pre}, "
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f"results={dropped_results}"
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)
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