refactor(db)!: clean up business SQL access

- make realtime replacement and analysis result writes transactional\n- consolidate SCADA repositories and remove process-global project state\n- validate SCADA batches and use indexed GIS-backed business queries\n\nBREAKING CHANGE: remove the public analysis result writer and the pipeline-health network_name query parameter.

app/services/leakage_identifier.py

@@ -10,20 +10,14 @@ import wntr
 
 from app.algorithms.leakage.identifier import LeakageIdentifier
 from app.infra.db.timescaledb.internal_queries import InternalQueries
-from app.services.scheme_management import (
-    query_leakage_identify_scheme_detail,
-    query_leakage_identify_schemes,
-    scheme_name_exists,
-    store_leakage_identify_result,
-    store_scheme_info,
-)
+from app.services.scheme_management import store_analysis_run_with_result
 from app.services.tjnetwork import (
     dump_inp,
     get_all_scada_info,
     get_network_link_nodes,
     get_network_node_coords,
 )
-from app.services.time_api import extract_date, parse_utc_time, utc_now
+from app.services.time_api import parse_utc_time, utc_now
 
 DEFAULT_N_WORKERS = max(1, min((os.cpu_count() or 1) - 1, 4))
 
@@ -115,8 +109,6 @@ def run_leakage_identification(
         "rows": rows,
     }
     if scheme_name:
-        if scheme_name_exists(network, scheme_name):
-            raise ValueError(f"方案名称已存在: {scheme_name}")
         scheme_start_time = (
             _to_datetime(scada_start).isoformat()
             if scada_start is not None
@@ -153,46 +145,29 @@ def run_leakage_identification(
                 ),
             },
         }
-        store_scheme_info(
+        store_analysis_run_with_result(
             name=network,
             scheme_name=scheme_name,
             scheme_type="dma_leak_identification",
             username=username,
             scheme_start_time=scheme_start_time,
             scheme_detail=scheme_detail,
-        )
-        store_leakage_identify_result(
-            name=network,
-            scheme_name=scheme_name,
-            network=network,
-            sensor_nodes=selected_sensor_nodes,
-            result_rows=rows,
-            node_area_map=area_map,
-            areas=areas,
-            drawing_payload={},
+            result_type="leakage_identification",
+            result_payload={
+                "network": network,
+                "run_status": "completed",
+                "error_message": None,
+                "sensor_nodes": selected_sensor_nodes,
+                "rows": rows,
+                "node_area_map": area_map,
+                "areas": areas,
+                "drawing_payload": {},
+            },
         )
         payload["scheme_name"] = scheme_name
     return payload
 
 
-def list_leakage_identify_schemes(
-    network: str, query_date: datetime | str | None = None
-) -> list[dict[str, Any]]:
-    parsed_date = extract_date(query_date, field_name="query_date") if query_date is not None else None
-    return query_leakage_identify_schemes(
-        name=network, network=network, query_date=parsed_date
-    )
-
-
-def get_leakage_identify_scheme_detail(
-    network: str, scheme_name: str
-) -> dict[str, Any]:
-    result = query_leakage_identify_scheme_detail(network, scheme_name)
-    if not result:
-        raise ValueError(f"未找到漏损识别方案: {scheme_name}")
-    return result
-
-
 def _get_pressure_sensor_nodes(network: str) -> list[str]:
     scada_devices = get_all_scada_info(network)
     sensor_nodes: list[str] = []