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.
This commit is contained in:
2026-08-25 18:35:05 +08:00
parent fdbcc5c033
commit fa188af0b1
181 changed files with 8446 additions and 33546 deletions
+44 -67
View File
@@ -3,6 +3,7 @@ from __future__ import annotations
import os
from datetime import datetime, timedelta
from typing import Any
from uuid import UUID
import pandas as pd
@@ -11,7 +12,7 @@ from app.infra.db.timescaledb.internal_queries import InternalQueries
from app.services.scheme_management import (
query_burst_location_scheme_detail,
query_burst_location_schemes,
query_scheme_list,
get_analysis_run,
scheme_name_exists,
store_scheme_info,
)
@@ -21,7 +22,6 @@ from app.services.time_api import extract_date, parse_utc_time, utc_now
SeriesInput = pd.Series | dict[str, Any] | list[dict[str, Any]]
FLOW_SCADA_TYPES = {"pipe_flow", "flow", "demand"}
SIMULATION_DATA_SOURCES = {"monitoring", "simulation"}
DEFAULT_SIMULATION_SCHEME_TYPE = "burst_analysis"
def _normalize_series(data: SeriesInput, field_name: str) -> pd.Series:
@@ -65,16 +65,12 @@ def run_burst_location_by_network(
scada_normal_end: datetime | str | None = None,
use_scada_flow: bool = False,
scheme_name: str | None = None,
simulation_scheme_name: str | None = None,
simulation_scheme_type: str | None = None,
simulation_run_id: UUID | None = None,
) -> dict[str, Any]:
if not network:
raise ValueError("network is required.")
normalized_data_source = _normalize_data_source(
data_source, simulation_scheme_name=simulation_scheme_name
)
resolved_simulation_scheme_type = (
simulation_scheme_type or DEFAULT_SIMULATION_SCHEME_TYPE
data_source, simulation_run_id=simulation_run_id
)
selected_pressure_ids = (
@@ -123,8 +119,8 @@ def run_burst_location_by_network(
else None
)
if normalized_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")
normal_start_dt = burst_start_dt
normal_end_dt = burst_end_dt
(
@@ -137,9 +133,8 @@ def run_burst_location_by_network(
end_dt=burst_end_dt,
data_type="pressure",
series_name="burst_pressure",
simulation_source="scheme",
simulation_scheme_name=simulation_scheme_name,
simulation_scheme_type=resolved_simulation_scheme_type,
simulation_source="analysis",
simulation_run_id=simulation_run_id,
)
(
normal_pressure_series,
@@ -152,10 +147,9 @@ def run_burst_location_by_network(
data_type="pressure",
series_name="normal_pressure",
simulation_source="realtime",
simulation_scheme_name=None,
simulation_scheme_type=resolved_simulation_scheme_type,
simulation_run_id=None,
)
observed_source = "simulation_scheme_burst_realtime_normal_timerange"
observed_source = "analysis_run_burst_realtime_normal_timerange"
else:
if normal_pressure_from_payload is None and (
normal_start_dt is None or normal_end_dt is None
@@ -230,8 +224,8 @@ def run_burst_location_by_network(
else None
)
if normalized_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")
burst_flow_series, burst_flow_samples = (
_build_observed_series_from_simulation(
network=network,
@@ -240,9 +234,8 @@ def run_burst_location_by_network(
end_dt=burst_end_dt,
data_type="flow",
series_name="burst_flow",
simulation_source="scheme",
simulation_scheme_name=simulation_scheme_name,
simulation_scheme_type=resolved_simulation_scheme_type,
simulation_source="analysis",
simulation_run_id=simulation_run_id,
)
)
normal_flow_series, normal_flow_samples = (
@@ -254,8 +247,7 @@ def run_burst_location_by_network(
data_type="flow",
series_name="normal_flow",
simulation_source="realtime",
simulation_scheme_name=None,
simulation_scheme_type=resolved_simulation_scheme_type,
simulation_run_id=None,
)
)
else:
@@ -354,14 +346,12 @@ def run_burst_location_by_network(
}
)
if normalized_data_source == "simulation":
simulation_burst_ids = _get_simulation_scheme_burst_ids(
simulation_burst_ids = _get_simulation_run_burst_ids(
network=network,
scheme_name=simulation_scheme_name,
scheme_type=resolved_simulation_scheme_type,
run_id=simulation_run_id,
)
payload["simulation_scheme"] = {
"name": simulation_scheme_name,
"type": resolved_simulation_scheme_type,
payload["simulation_run"] = {
"run_id": str(simulation_run_id),
"burst_ids": simulation_burst_ids,
}
if scheme_name:
@@ -471,20 +461,15 @@ def _validate_time_window(
return start_dt, end_dt
def _get_simulation_scheme_burst_ids(
*, network: str, scheme_name: str | None, scheme_type: str
def _get_simulation_run_burst_ids(
*, network: str, run_id: UUID | None
) -> list[str]:
if not scheme_name:
if run_id is None:
return []
rows = query_scheme_list(network, scheme_type=scheme_type) or []
for row in rows:
if len(row) < 7:
continue
if row[1] != scheme_name or row[2] != scheme_type:
continue
detail = row[6] if isinstance(row[6], dict) else {}
return _normalize_burst_ids(detail.get("burst_ID"))
return []
run = get_analysis_run(network, run_id)
if not run:
raise ValueError(f"未找到模拟运行: {run_id}")
return _normalize_burst_ids(run["parameters"].get("burst_ID"))
def _normalize_burst_ids(value: Any) -> list[str]:
@@ -566,8 +551,7 @@ def _build_observed_series_from_simulation(
data_type: str,
series_name: str,
simulation_source: str,
simulation_scheme_name: str | None,
simulation_scheme_type: str,
simulation_run_id: UUID | None,
) -> tuple[pd.Series, int]:
sensor_ids = _dedupe_ids(sensor_ids)
sensor_metadata = _build_sensor_metadata(network=network, data_type=data_type)
@@ -586,8 +570,7 @@ def _build_observed_series_from_simulation(
end_dt=end_dt,
data_type=data_type,
simulation_source=simulation_source,
simulation_scheme_name=simulation_scheme_name,
simulation_scheme_type=simulation_scheme_type,
simulation_run_id=simulation_run_id,
)
simulation_data = _normalize_timeseries_by_id(simulation_data)
values: dict[str, float] = {}
@@ -625,10 +608,9 @@ def _query_simulation_data_by_sensor_ids(
end_dt: datetime,
data_type: str,
simulation_source: str,
simulation_scheme_name: str | None,
simulation_scheme_type: str,
simulation_run_id: UUID | None,
) -> dict[str, list[dict[str, Any]]]:
if simulation_source not in {"scheme", "realtime"}:
if simulation_source not in {"analysis", "realtime"}:
raise ValueError(f"Unsupported simulation_source: {simulation_source}")
sensor_ids = _dedupe_ids(sensor_ids)
@@ -645,8 +627,7 @@ def _query_simulation_data_by_sensor_ids(
start_dt=start_dt,
end_dt=end_dt,
simulation_source=simulation_source,
simulation_scheme_name=simulation_scheme_name,
simulation_scheme_type=simulation_scheme_type,
simulation_run_id=simulation_run_id,
)
)
return result
@@ -679,8 +660,7 @@ def _query_simulation_data_by_sensor_ids(
start_dt=start_dt,
end_dt=end_dt,
simulation_source=simulation_source,
simulation_scheme_name=simulation_scheme_name,
simulation_scheme_type=simulation_scheme_type,
simulation_run_id=simulation_run_id,
)
)
if demand_ids:
@@ -693,8 +673,7 @@ def _query_simulation_data_by_sensor_ids(
start_dt=start_dt,
end_dt=end_dt,
simulation_source=simulation_source,
simulation_scheme_name=simulation_scheme_name,
simulation_scheme_type=simulation_scheme_type,
simulation_run_id=simulation_run_id,
)
)
return result
@@ -709,19 +688,17 @@ def _query_simulation_values(
start_dt: datetime,
end_dt: datetime,
simulation_source: str,
simulation_scheme_name: str | None,
simulation_scheme_type: str,
simulation_run_id: UUID | None,
) -> dict[str, list[dict[str, Any]]]:
element_ids = _dedupe_ids(element_ids)
if not element_ids:
return {}
if simulation_source == "scheme":
if not simulation_scheme_name:
raise ValueError("读取方案模拟数据时必须提供 simulation_scheme_name")
return InternalQueries.query_scheme_simulation_by_ids_timerange(
if simulation_source == "analysis":
if not simulation_run_id:
raise ValueError("读取分析模拟数据时必须提供 simulation_run_id")
return InternalQueries.query_analysis_simulation_by_ids_timerange(
db_name=network,
scheme_type=simulation_scheme_type,
scheme_name=simulation_scheme_name,
run_id=simulation_run_id,
element_ids=element_ids,
start_time=start_dt.isoformat(),
end_time=end_dt.isoformat(),
@@ -743,7 +720,7 @@ def _query_simulation_values(
def _build_sensor_metadata(network: str, data_type: str) -> dict[str, dict[str, str]]:
metadata: dict[str, dict[str, str]] = {}
for item in get_all_scada_info(network):
scada_type = str(item.get("type", "")).lower()
scada_type = str(item.get("device_type", "")).lower()
if data_type == "pressure":
if scada_type != "pressure":
continue
@@ -752,7 +729,7 @@ def _build_sensor_metadata(network: str, data_type: str) -> dict[str, dict[str,
continue
else:
raise ValueError(f"Unsupported data_type: {data_type}")
element_id = _normalize_identifier(item.get("associated_element_id"))
element_id = _normalize_identifier(item.get("node_id") or item.get("link_id"))
query_id = _normalize_identifier(item.get("api_query_id"))
if element_id and query_id:
metadata[element_id] = {"query_id": query_id, "scada_type": scada_type}
@@ -765,11 +742,11 @@ def _build_scada_mapping(network: str, data_type: str) -> dict[str, str]:
def _normalize_data_source(
data_source: str | None, simulation_scheme_name: str | None = None
data_source: str | None, simulation_run_id: UUID | None = None
) -> str:
normalized = str(data_source or "").strip().lower()
if not normalized:
return "simulation" if simulation_scheme_name else "monitoring"
return "simulation" if simulation_run_id else "monitoring"
if normalized not in SIMULATION_DATA_SOURCES:
allowed_sources = ", ".join(sorted(SIMULATION_DATA_SOURCES))
raise ValueError(
@@ -783,7 +760,7 @@ def _get_sensor_nodes(network: str, data_type: str) -> list[str]:
sensor_ids = sorted(mapping.keys())
if not sensor_ids:
type_name = "压力" if data_type == "pressure" else "流量"
raise ValueError(f"未找到{type_name}传感器对应节点(scada_info.type)。")
raise ValueError(f"未找到{type_name}传感器对应节点(asset.scada_devices.device_type)。")
return sensor_ids