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feat: Add cross-mode analytics dashboard with geofencing, correlations, and data export

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Adds a unified analytics mode under the Security nav group that aggregates
data across all signal modes. Includes emergency squawk alerting (7700/7600/7500),
vertical rate anomaly detection, ACARS/VDL2-to-ADS-B flight correlation,
geofence zones with enter/exit detection for aircraft/vessels/APRS stations,
temporal pattern detection, RSSI history tracking, Meshtastic topology mapping,
and JSON/CSV data export.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Smittix
2026-02-17 12:59:31 +00:00
parent 831426948f
commit 0f5a414a09
22 changed files with 1943 additions and 108 deletions
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24
routes/sensor.py
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@@ -28,6 +28,10 @@ sensor_bp = Blueprint('sensor', __name__)
# Track which device is being used
sensor_active_device: int | None = None
# RSSI history per device (model_id -> list of (timestamp, rssi))
sensor_rssi_history: dict[str, list[tuple[float, float]]] = {}
_MAX_RSSI_HISTORY = 60
def stream_sensor_output(process: subprocess.Popen[bytes]) -> None:
"""Stream rtl_433 JSON output to queue."""
@@ -45,6 +49,17 @@ def stream_sensor_output(process: subprocess.Popen[bytes]) -> None:
data['type'] = 'sensor'
app_module.sensor_queue.put(data)
# Track RSSI history per device
_model = data.get('model', '')
_dev_id = data.get('id', '')
_rssi_val = data.get('rssi')
if _rssi_val is not None and _model:
_hist_key = f"{_model}_{_dev_id}"
hist = sensor_rssi_history.setdefault(_hist_key, [])
hist.append((time.time(), float(_rssi_val)))
if len(hist) > _MAX_RSSI_HISTORY:
del hist[: len(hist) - _MAX_RSSI_HISTORY]
# Push scope event when signal level data is present
rssi = data.get('rssi')
snr = data.get('snr')
@@ -283,3 +298,12 @@ def stream_sensor() -> Response:
response.headers['X-Accel-Buffering'] = 'no'
response.headers['Connection'] = 'keep-alive'
return response
@sensor_bp.route('/sensor/rssi_history')
def get_rssi_history() -> Response:
"""Return RSSI history for all tracked sensor devices."""
result = {}
for key, entries in sensor_rssi_history.items():
result[key] = [{'t': round(t, 1), 'rssi': rssi} for t, rssi in entries]
return jsonify({'status': 'success', 'devices': result})