ria-toolkit-oss/src/ria_toolkit_oss/orchestration/labeler.py

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2026-03-11 10:27:18 -04:00
"""Timestamp-based labeling for captured recordings."""
from __future__ import annotations
from typing import Optional
from ria_toolkit_oss.data.recording import Recording
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from .campaign import CaptureStep
def label_recording(
recording: Recording,
device_id: str,
step: CaptureStep,
capture_timestamp: float,
campaign_name: Optional[str] = None,
) -> Recording:
"""Apply device identity and capture configuration labels to a recording's metadata.
Labels are stored in the ``ria:*`` namespace when the recording is saved
as SigMF, via the existing ``update_metadata`` mechanism.
Args:
recording: The recording to label.
device_id: Identifier for the transmitting device (e.g. "iphone13_wifi_001").
step: The capture step that was active during this recording.
capture_timestamp: Unix timestamp (float) of when capture started.
campaign_name: Optional campaign name for cross-recording reference.
Returns:
The same recording with updated metadata.
"""
recording.update_metadata("device_id", device_id)
recording.update_metadata("capture_timestamp", capture_timestamp)
recording.update_metadata("step_label", step.label)
recording.update_metadata("step_duration_s", step.duration)
if campaign_name:
recording.update_metadata("campaign", campaign_name)
# WiFi-specific labels
if step.channel is not None:
recording.update_metadata("wifi_channel", step.channel)
if step.bandwidth_mhz is not None:
recording.update_metadata("wifi_bandwidth_mhz", step.bandwidth_mhz)
# Bluetooth-specific labels
if step.connection_interval_ms is not None:
recording.update_metadata("bt_connection_interval_ms", step.connection_interval_ms)
# Traffic pattern (WiFi + BT)
if step.traffic is not None:
recording.update_metadata("traffic_pattern", step.traffic)
# TX power
if step.power_dbm is not None:
recording.update_metadata("tx_power_dbm", step.power_dbm)
return recording
def build_output_filename(device_id: str, step: CaptureStep) -> str:
"""Generate a deterministic filename for a labeled recording.
Format: ``<device_id>/<step_label>``
Args:
device_id: Device identifier string.
step: Capture step.
Returns:
Relative path string (no extension) to use as ``filename`` in ``to_sigmf()``.
"""
safe_id = device_id.replace("/", "_").replace(" ", "_")
safe_label = step.label.replace("/", "_").replace(" ", "_")
return f"{safe_id}/{safe_label}"