fix(burst-location): tolerate partial SCADA gaps

app/services/burst_location.py

@@ -186,6 +186,14 @@ def run_burst_location_by_network(
                 normal_pressure_series = normal_pressure_from_payload
                 normal_pressure_samples = 1
                 observed_source = "scada_burst_payload_normal_timerange"
+        selected_pressure_ids, burst_pressure_series, normal_pressure_series = (
+            _align_observed_series_pair(
+                ids=selected_pressure_ids,
+                burst_series=burst_pressure_series,
+                normal_series=normal_pressure_series,
+                data_label="压力数据",
+            )
+        )
     else:
         if burst_pressure is None or normal_pressure is None:
             raise ValueError(
@@ -269,6 +277,14 @@ def run_burst_location_by_network(
             else:
                 normal_flow_series = normal_flow_from_payload
                 normal_flow_samples = 1
+            selected_flow_ids, burst_flow_series, normal_flow_series = (
+                _align_observed_series_pair(
+                    ids=selected_flow_ids,
+                    burst_series=burst_flow_series,
+                    normal_series=normal_flow_series,
+                    data_label="流量数据",
+                )
+            )
     else:
         if flow_scada_ids is not None:
             selected_flow_ids = _dedupe_ids(flow_scada_ids)
@@ -439,6 +455,23 @@ def _validate_time_window(
     return start_dt, end_dt
 
 
+def _align_observed_series_pair(
+    *,
+    ids: list[str],
+    burst_series: pd.Series,
+    normal_series: pd.Series,
+    data_label: str,
+) -> tuple[list[str], pd.Series, pd.Series]:
+    common_ids = [
+        sensor_id
+        for sensor_id in _dedupe_ids(ids)
+        if sensor_id in burst_series.index and sensor_id in normal_series.index
+    ]
+    if not common_ids:
+        raise ValueError(f"{data_label}没有同时具备爆管时段和正常时段有效数据的点位。")
+    return common_ids, burst_series.loc[common_ids], normal_series.loc[common_ids]
+
+
 def _build_observed_series_from_scada(
     *,
     network: str,
@@ -473,11 +506,13 @@ def _build_observed_series_from_scada(
             float(item["value"]) for item in records if item.get("value") is not None
         ]
         if not numeric_values:
-            raise ValueError(
-                f"{_series_display_name(series_name)} 在时间窗内无有效数据: {sensor_id}"
-            )
+            continue
         values[sensor_id] = float(sum(numeric_values) / len(numeric_values))
         sample_counts.append(len(numeric_values))
+    if not values:
+        raise ValueError(
+            f"{_series_display_name(series_name)} 在时间窗内无有效数据: {', '.join(sensor_ids[:10])}"
+        )
 
     return pd.Series(values, dtype=float), min(sample_counts)