data_model: fix apply_procedural paths for extract_all snapshot format

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

server/data_model.py

@@ -393,18 +393,17 @@ def apply_procedural(record: dict) -> dict:
     """
     proc: dict = {}
 
-    range_at_soc = _get(record, "electric_drive", "range", "value")
-    soc          = _get(record, "electric_drive", "battery", "soc", "value")
+    range_at_soc = _get(record, "sensor", "electric_range", "value")
+    soc          = _get(record, "sensor", "battery_level", "value")
     if range_at_soc is not None and soc:
         proc["range_at_100"] = _phys(round(100 * float(range_at_soc) / float(soc), 1), "km")
 
     # ── add computed fields here ──────────────────────────────────────────
-    # Use _get(record, "domain", "statusObject", "field", "value") to
-    # safely read any nested value.  Always use {"value": ..., "unit": ...}
-    # format so the GUI picks up the field automatically.
+    # Use _get(record, "sensor"|"binary_sensor"|..., "attr_name", "value")
+    # Always use {"value": ..., "unit": ...} format so the GUI picks it up.
     #
     # Example — usable energy estimated from SOC and battery capacity:
-    # soc = _get(record, "electric_drive", "battery", "soc", "value")
+    # soc = _get(record, "sensor", "battery_level", "value")
     # if soc is not None:
     #     proc["energy_stored"] = {"value": round(soc / 100 * 77.0, 1), "unit": "kWh"}
     # ─────────────────────────────────────────────────────────────────────