refactor(db)!: adopt project-routed pooled databases

Reorganize WNDB by responsibility and remove legacy scheme endpoints.\n\nRoute analysis and time-series access through project pools, preserve transactional realtime replacement, and refresh GIS materialized views after writes.\n\nAdd database architecture documentation, live pooling coverage, API contract updates, and executable container verification.\n\nBREAKING CHANGE: legacy scheme APIs and flat app.native.wndb module imports are removed.

app/services/burst_detection.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 from collections import Counter
 from datetime import datetime, timedelta
 from typing import Any
+from uuid import UUID
 
 import numpy as np
 import pandas as pd
@@ -49,8 +50,7 @@ def run_burst_detection(
     sensor_nodes: list[str] | None = None,
     scheme_name: str | None = None,
     data_source: str = "monitoring",
-    simulation_scheme_name: str | None = None,
-    simulation_scheme_type: str | None = None,
+    simulation_run_id: UUID | None = None,
 ) -> dict[str, Any]:
     """
     运行爆管侦测服务入口。
@@ -153,18 +153,17 @@ def run_burst_detection(
             else _get_pressure_sensor_nodes(network)
         )
         if data_source == "simulation":
-            if not simulation_scheme_name:
-                raise ValueError("模拟方案模式必须提供 simulation_scheme_name。")
+            if not simulation_run_id:
+                raise ValueError("模拟数据模式必须提供 simulation_run_id。")
             observed_df = _build_observed_pressure_from_simulation(
                 network=network,
                 sensor_nodes=scada_sensor_nodes,
                 scada_start=scada_start,
                 scada_end=scada_end,
-                simulation_scheme_name=simulation_scheme_name,
-                simulation_scheme_type=simulation_scheme_type,
+                simulation_run_id=simulation_run_id,
             )
             observed_input = observed_df
-            observed_source = "simulation_scheme_timerange"
+            observed_source = "analysis_run_timerange"
         else:
             observed_df = _build_observed_pressure_from_scada(
                 network=network,
@@ -224,9 +223,8 @@ def run_burst_detection(
     }
     if data_source == "simulation":
         payload["data_source"] = "simulation"
-        payload["simulation_scheme"] = {
-            "name": simulation_scheme_name,
-            "type": simulation_scheme_type,
+        payload["simulation_run"] = {
+            "run_id": str(simulation_run_id),
         }
     else:
         payload["data_source"] = "monitoring"
@@ -299,11 +297,10 @@ def _build_observed_pressure_from_simulation(
     sensor_nodes: list[str],
     scada_start: datetime | str | None,
     scada_end: datetime | str | None,
-    simulation_scheme_name: str | None,
-    simulation_scheme_type: str | None = None,
+    simulation_run_id: UUID,
 ) -> pd.DataFrame:
     if scada_start is None or scada_end is None:
-        raise ValueError("使用模拟方案查询时必须同时提供 scada_start 与 scada_end。")
+        raise ValueError("使用分析模拟数据时必须同时提供 scada_start 与 scada_end。")
 
     start_dt = _to_datetime(scada_start)
     end_dt = _to_datetime(scada_end)
@@ -316,12 +313,9 @@ def _build_observed_pressure_from_simulation(
     # Check for missing nodes in simulation result if needed, but InternalQueries handles some of it.
     # We assume sensor_nodes are valid pressure nodes.
     
-    scheme_type = simulation_scheme_type or "burst_analysis"
-    
-    simulation_data = InternalQueries.query_scheme_simulation_by_ids_timerange(
+    simulation_data = InternalQueries.query_analysis_simulation_by_ids_timerange(
         db_name=network,
-        scheme_type=scheme_type,
-        scheme_name=simulation_scheme_name,
+        run_id=simulation_run_id,
         element_ids=sensor_nodes,
         start_time=start_dt.isoformat(),
         end_time=end_dt.isoformat(),
@@ -646,8 +640,8 @@ def _resolve_sampling_interval_minutes(
         inferred_intervals = [
             parsed
             for item in get_all_scada_info(network)
-            if str(item.get("type", "")).lower() == "pressure"
-            and str(item.get("associated_element_id", "")) in selected_nodes
+            if str(item.get("device_type", "")).lower() == "pressure"
+            and str(item.get("node_id", "")) in selected_nodes
             and (
                 parsed := _parse_sampling_interval_minutes(
                     item.get("transmission_frequency")
@@ -685,9 +679,9 @@ def _parse_sampling_interval_minutes(value: Any) -> int | None:
 def _get_pressure_sensor_mapping(network: str) -> dict[str, str]:
     node_query_id: dict[str, str] = {}
     for item in get_all_scada_info(network):
-        if str(item.get("type", "")).lower() != "pressure":
+        if str(item.get("device_type", "")).lower() != "pressure":
             continue
-        node_id = item.get("associated_element_id")
+        node_id = item.get("node_id")
         query_id = item.get("api_query_id")
         if node_id and query_id is not None:
             node_query_id[str(node_id)] = str(query_id)
@@ -697,14 +691,16 @@ def _get_pressure_sensor_mapping(network: str) -> dict[str, str]:
 def _get_pressure_sensor_nodes(network: str) -> list[str]:
     sensor_nodes: list[str] = []
     for item in get_all_scada_info(network):
-        if str(item.get("type", "")).lower() != "pressure":
+        if str(item.get("device_type", "")).lower() != "pressure":
             continue
-        node_id = item.get("associated_element_id")
+        node_id = item.get("node_id")
         if isinstance(node_id, str) and node_id:
             sensor_nodes.append(node_id)
     sensor_nodes = list(dict.fromkeys(sensor_nodes))
     if not sensor_nodes:
-        raise ValueError("未找到压力传感器对应节点（scada_info.type=pressure）。")
+        raise ValueError(
+            "未找到压力传感器对应节点（asset.scada_devices.device_type=pressure）。"
+        )
     return sensor_nodes