Remove dataset replay

python_app/models/run_config_codec.py

@@ -106,7 +106,6 @@ def run_config_from_dict(payload: object) -> RunConfigModel:
         "run.locator_server",
     )
     multi_device_payload = _as_dict(radar_payload.get("multi_device"), "radar.multi_device")
-    replay_payload = _as_dict(radar_payload.get("replay"), "radar.replay")
     kamil_adc_payload = _as_dict(radar_payload.get("kamil_adc"), "radar.kamil_adc")
     laser_control_payload = _as_dict(radar_payload.get("laser_control"), "radar.laser_control")
 
@@ -163,13 +162,6 @@ def run_config_from_dict(payload: object) -> RunConfigModel:
         "stimulus_switch_positions",
         model.radar.multi_device.stimulus_switch_positions,
     )
-    model.radar.replay.dataset_dir = _read_str(
-        replay_payload, "dataset_dir", model.radar.replay.dataset_dir
-    )
-    model.radar.replay.loop = _read_bool(replay_payload, "loop", model.radar.replay.loop)
-    model.radar.replay.rate_scale = _read_float(
-        replay_payload, "rate_scale", model.radar.replay.rate_scale
-    )
     model.radar.kamil_adc.project_dir = _read_str(
         kamil_adc_payload, "project_dir", model.radar.kamil_adc.project_dir
     )
@@ -443,11 +435,6 @@ def run_config_to_dict(model: RunConfigModel) -> dict[str, Any]:
                 "input_switch_positions": model.radar.multi_device.input_switch_positions,
                 "stimulus_switch_positions": model.radar.multi_device.stimulus_switch_positions
             },
-            "replay": {
-                "dataset_dir": model.radar.replay.dataset_dir,
-                "loop": model.radar.replay.loop,
-                "rate_scale": model.radar.replay.rate_scale,
-            },
             "kamil_adc": {
                 "project_dir": model.radar.kamil_adc.project_dir,
                 "executable_path": model.radar.kamil_adc.executable_path,

python_app/models/run_config_schema.py

@@ -55,25 +55,6 @@ class RadarMultiDeviceModel:
     stimulus_switch_positions: int = 1
 
 
-@dataclass(slots=True)
-class RadarReplayModel:
-    """Recorded-dataset replay settings (no hardware).
-
-    When ``dataset_dir`` is non-empty the supervisor launches
-    ``python_app.scripts.replay_raw_producer`` instead of the model's normal
-    acquisition producer. The dataset is a directory of snapshot folders named
-    ``NNNN_idK_ns<timestamp>``, each holding ``i{input}_o{output}_s21.npy`` /
-    ``_freq.npy`` files (the VNA_AlGo preprocessed-capture layout).
-    """
-
-    dataset_dir: str = ""
-    # Restart from the first snapshot when the dataset ends; the replay
-    # timeline keeps advancing monotonically across the seam.
-    loop: bool = True
-    # Playback speed multiplier: 1.0 replays at the recorded frame cadence.
-    rate_scale: float = 1.0
-
-
 @dataclass(slots=True)
 class KamilAdcPhaseCalibrationModel:
     """Affine law mapping the reference signal's unwrapped phase to frequency.
@@ -177,7 +158,6 @@ class RadarModel:
     driver_mode: str = "mock"
     sweep: RadarSweepModel = field(default_factory=RadarSweepModel)
     multi_device: RadarMultiDeviceModel = field(default_factory=RadarMultiDeviceModel)
-    replay: RadarReplayModel = field(default_factory=RadarReplayModel)
     kamil_adc: KamilAdcModel = field(default_factory=KamilAdcModel)
     laser_control: LaserControlModel = field(default_factory=LaserControlModel)
 

python_app/models/run_config_validation.py

@@ -124,13 +124,7 @@ def validate_ring_endpoint(ring: RingEndpointModel) -> None:
 
 
 def validate_acquisition_config(config: RunConfigModel) -> None:
-    """Reject unusable acquisition settings before starting processes or hardware.
-
-    Replay uses the recorded trace dimensions and needs no physical devices; its
-    producer checks the actual payload size before publishing a frame.
-    """
-    if config.radar.replay.dataset_dir:
-        return
+    """Reject unusable acquisition settings before starting processes or hardware."""
     mode = config.radar.driver_mode
     if mode not in ("mock", "native"):
         raise ValueError("radar.driver_mode must be mock or native")