670 lines
26 KiB
Python
670 lines
26 KiB
Python
from typing import List, Any, Dict
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from datetime import datetime, timedelta, timezone
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from psycopg import AsyncConnection, Connection, sql
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import globals
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# 定义UTC+8时区
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UTC_8 = timezone(timedelta(hours=8))
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class SchemeRepository:
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# --- Link Simulation ---
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@staticmethod
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async def insert_links_batch(conn: AsyncConnection, data: List[dict]):
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"""Batch insert for scheme.link_simulation using INSERT for performance."""
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if not data:
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return
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query = """
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INSERT INTO scheme.link_simulation (time, scheme_type, scheme_name, id, flow, friction, headloss, quality, reaction, setting, status, velocity)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
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ON CONFLICT (time, scheme_type, scheme_name, id) DO UPDATE SET
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flow = EXCLUDED.flow,
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friction = EXCLUDED.friction,
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headloss = EXCLUDED.headloss,
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quality = EXCLUDED.quality,
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reaction = EXCLUDED.reaction,
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setting = EXCLUDED.setting,
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status = EXCLUDED.status,
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velocity = EXCLUDED.velocity
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"""
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async with conn.cursor() as cur:
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await cur.executemany(query, [
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(item["time"], item["scheme_type"], item["scheme_name"], item["id"], item.get("flow"), item.get("friction"), item.get("headloss"), item.get("quality"), item.get("reaction"), item.get("setting"), item.get("status"), item.get("velocity"))
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for item in data
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])
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@staticmethod
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def insert_links_batch_sync(conn: Connection, data: List[dict]):
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"""Batch insert for scheme.link_simulation using INSERT for performance (sync version)."""
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if not data:
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return
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query = """
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INSERT INTO scheme.link_simulation (time, scheme_type, scheme_name, id, flow, friction, headloss, quality, reaction, setting, status, velocity)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
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ON CONFLICT (time, scheme_type, scheme_name, id) DO UPDATE SET
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flow = EXCLUDED.flow,
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friction = EXCLUDED.friction,
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headloss = EXCLUDED.headloss,
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quality = EXCLUDED.quality,
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reaction = EXCLUDED.reaction,
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setting = EXCLUDED.setting,
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status = EXCLUDED.status,
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velocity = EXCLUDED.velocity
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"""
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with conn.cursor() as cur:
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cur.executemany(query, [
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(item["time"], item["scheme_type"], item["scheme_name"], item["id"], item.get("flow"), item.get("friction"), item.get("headloss"), item.get("quality"), item.get("reaction"), item.get("setting"), item.get("status"), item.get("velocity"))
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for item in data
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])
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@staticmethod
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async def get_link_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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link_id: str,
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) -> List[dict]:
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async with conn.cursor() as cur:
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await cur.execute(
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"SELECT * FROM scheme.link_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s AND id = %s",
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(scheme_type, scheme_name, start_time, end_time, link_id),
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)
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return await cur.fetchall()
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@staticmethod
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async def get_links_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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) -> List[dict]:
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async with conn.cursor() as cur:
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await cur.execute(
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"SELECT * FROM scheme.link_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s",
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(scheme_type, scheme_name, start_time, end_time),
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)
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return await cur.fetchall()
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@staticmethod
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async def get_link_field_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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link_id: str,
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field: str,
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) -> Any:
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# Validate field name to prevent SQL injection
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valid_fields = {
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"flow",
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"friction",
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"headloss",
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"quality",
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"reaction",
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"setting",
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"status",
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"velocity",
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}
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if field not in valid_fields:
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raise ValueError(f"Invalid field: {field}")
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query = sql.SQL(
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"SELECT {} FROM scheme.link_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s AND id = %s"
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).format(sql.Identifier(field))
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async with conn.cursor() as cur:
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await cur.execute(
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query, (scheme_type, scheme_name, start_time, end_time, link_id)
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)
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row = await cur.fetchone()
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return row[field] if row else None
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@staticmethod
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async def get_links_field_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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field: str,
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) -> Any:
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# Validate field name to prevent SQL injection
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valid_fields = {
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"flow",
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"friction",
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"headloss",
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"quality",
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"reaction",
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"setting",
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"status",
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"velocity",
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}
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if field not in valid_fields:
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raise ValueError(f"Invalid field: {field}")
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query = sql.SQL(
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"SELECT id, {} FROM scheme.link_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s"
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).format(sql.Identifier(field))
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async with conn.cursor() as cur:
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await cur.execute(query, (scheme_type, scheme_name, start_time, end_time))
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rows = await cur.fetchall()
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return [{"id": row["id"], "value": row[field]} for row in rows]
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@staticmethod
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async def update_link_field(
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conn: AsyncConnection,
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time: datetime,
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scheme_type: str,
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scheme_name: str,
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link_id: str,
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field: str,
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value: Any,
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):
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valid_fields = {
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"flow",
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"friction",
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"headloss",
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"quality",
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"reaction",
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"setting",
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"status",
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"velocity",
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}
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if field not in valid_fields:
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raise ValueError(f"Invalid field: {field}")
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query = sql.SQL(
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"UPDATE scheme.link_simulation SET {} = %s WHERE time = %s AND scheme_type = %s AND scheme_name = %s AND id = %s"
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).format(sql.Identifier(field))
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async with conn.cursor() as cur:
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await cur.execute(query, (value, time, scheme_type, scheme_name, link_id))
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@staticmethod
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async def delete_links_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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):
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async with conn.cursor() as cur:
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await cur.execute(
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"DELETE FROM scheme.link_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s",
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(scheme_type, scheme_name, start_time, end_time),
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)
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# --- Node Simulation ---
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@staticmethod
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async def insert_nodes_batch(conn: AsyncConnection, data: List[dict]):
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if not data:
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return
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query = """
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INSERT INTO scheme.node_simulation (time, scheme_type, scheme_name, id, actual_demand, total_head, pressure, quality)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
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ON CONFLICT (time, scheme_type, scheme_name, id) DO UPDATE SET
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actual_demand = EXCLUDED.actual_demand,
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total_head = EXCLUDED.total_head,
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pressure = EXCLUDED.pressure,
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quality = EXCLUDED.quality
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"""
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async with conn.cursor() as cur:
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await cur.executemany(query, [
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(item["time"], item["scheme_type"], item["scheme_name"], item["id"], item.get("actual_demand"), item.get("total_head"), item.get("pressure"), item.get("quality"))
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for item in data
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])
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@staticmethod
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def insert_nodes_batch_sync(conn: Connection, data: List[dict]):
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if not data:
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return
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query = """
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INSERT INTO scheme.node_simulation (time, scheme_type, scheme_name, id, actual_demand, total_head, pressure, quality)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
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ON CONFLICT (time, scheme_type, scheme_name, id) DO UPDATE SET
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actual_demand = EXCLUDED.actual_demand,
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total_head = EXCLUDED.total_head,
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pressure = EXCLUDED.pressure,
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quality = EXCLUDED.quality
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"""
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with conn.cursor() as cur:
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cur.executemany(query, [
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(item["time"], item["scheme_type"], item["scheme_name"], item["id"], item.get("actual_demand"), item.get("total_head"), item.get("pressure"), item.get("quality"))
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for item in data
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])
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@staticmethod
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async def get_node_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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node_id: str,
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) -> List[dict]:
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async with conn.cursor() as cur:
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await cur.execute(
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"SELECT * FROM scheme.node_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s AND id = %s",
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(scheme_type, scheme_name, start_time, end_time, node_id),
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)
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return await cur.fetchall()
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@staticmethod
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async def get_nodes_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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) -> List[dict]:
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async with conn.cursor() as cur:
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await cur.execute(
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"SELECT * FROM scheme.node_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s",
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(scheme_type, scheme_name, start_time, end_time),
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)
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return await cur.fetchall()
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@staticmethod
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async def get_node_field_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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node_id: str,
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field: str,
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) -> Any:
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# Validate field name to prevent SQL injection
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valid_fields = {"actual_demand", "total_head", "pressure", "quality"}
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if field not in valid_fields:
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raise ValueError(f"Invalid field: {field}")
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query = sql.SQL(
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"SELECT {} FROM scheme.node_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s AND id = %s"
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).format(sql.Identifier(field))
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async with conn.cursor() as cur:
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await cur.execute(
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query, (scheme_type, scheme_name, start_time, end_time, node_id)
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)
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row = await cur.fetchone()
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return row[field] if row else None
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@staticmethod
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async def get_nodes_field_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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field: str,
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) -> Any:
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# Validate field name to prevent SQL injection
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valid_fields = {"actual_demand", "total_head", "pressure", "quality"}
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if field not in valid_fields:
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raise ValueError(f"Invalid field: {field}")
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query = sql.SQL(
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"SELECT id, {} FROM scheme.node_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s"
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).format(sql.Identifier(field))
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async with conn.cursor() as cur:
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await cur.execute(query, (scheme_type, scheme_name, start_time, end_time))
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rows = await cur.fetchall()
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return [{"id": row["id"], "value": row[field]} for row in rows]
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@staticmethod
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async def update_node_field(
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conn: AsyncConnection,
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time: datetime,
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scheme_type: str,
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scheme_name: str,
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node_id: str,
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field: str,
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value: Any,
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):
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valid_fields = {"actual_demand", "total_head", "pressure", "quality"}
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if field not in valid_fields:
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raise ValueError(f"Invalid field: {field}")
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query = sql.SQL(
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"UPDATE scheme.node_simulation SET {} = %s WHERE time = %s AND scheme_type = %s AND scheme_name = %s AND id = %s"
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).format(sql.Identifier(field))
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async with conn.cursor() as cur:
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await cur.execute(query, (value, time, scheme_type, scheme_name, node_id))
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@staticmethod
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async def delete_nodes_by_scheme_and_time_range(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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start_time: datetime,
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end_time: datetime,
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):
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async with conn.cursor() as cur:
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await cur.execute(
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"DELETE FROM scheme.node_simulation WHERE scheme_type = %s AND scheme_name = %s AND time >= %s AND time <= %s",
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(scheme_type, scheme_name, start_time, end_time),
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)
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# --- 复合查询 ---
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@staticmethod
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async def store_scheme_simulation_result(
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conn: AsyncConnection,
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scheme_type: str,
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scheme_name: str,
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node_result_list: List[Dict[str, any]],
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link_result_list: List[Dict[str, any]],
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result_start_time: str,
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num_periods: int = 1,
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):
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"""
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Store scheme simulation results to TimescaleDB.
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Args:
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conn: Database connection
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scheme_type: Scheme type
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scheme_name: Scheme name
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node_result_list: List of node simulation results
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link_result_list: List of link simulation results
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result_start_time: Start time for the results (ISO format string)
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"""
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# Convert result_start_time string to datetime if needed
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if isinstance(result_start_time, str):
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# 如果是ISO格式字符串，解析并转换为UTC+8
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if result_start_time.endswith("Z"):
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# UTC时间，转换为UTC+8
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utc_time = datetime.fromisoformat(
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result_start_time.replace("Z", "+00:00")
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)
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simulation_time = utc_time.astimezone(UTC_8)
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else:
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# 假设已经是UTC+8时间
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simulation_time = datetime.fromisoformat(result_start_time)
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if simulation_time.tzinfo is None:
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simulation_time = simulation_time.replace(tzinfo=UTC_8)
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else:
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simulation_time = result_start_time
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if simulation_time.tzinfo is None:
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simulation_time = simulation_time.replace(tzinfo=UTC_8)
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timestep_parts = globals.hydraulic_timestep.split(":")
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timestep = timedelta(
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hours=int(timestep_parts[0]),
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minutes=int(timestep_parts[1]),
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seconds=int(timestep_parts[2]),
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)
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# Prepare node data for batch insert
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node_data = []
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for node_result in node_result_list:
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node_id = node_result.get("node")
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for period_index in range(num_periods):
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current_time = simulation_time + (timestep * period_index)
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data = node_result.get("result", [])[period_index]
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node_data.append(
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{
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"time": current_time,
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"scheme_type": scheme_type,
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"scheme_name": scheme_name,
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"id": node_id,
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"actual_demand": data.get("demand"),
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"total_head": data.get("head"),
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"pressure": data.get("pressure"),
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"quality": data.get("quality"),
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}
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)
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# Prepare link data for batch insert
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link_data = []
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for link_result in link_result_list:
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link_id = link_result.get("link")
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for period_index in range(num_periods):
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current_time = simulation_time + (timestep * period_index)
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data = link_result.get("result", [])[period_index]
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link_data.append(
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{
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"time": current_time,
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"scheme_type": scheme_type,
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"scheme_name": scheme_name,
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"id": link_id,
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"flow": data.get("flow"),
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"friction": data.get("friction"),
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"headloss": data.get("headloss"),
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"quality": data.get("quality"),
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"reaction": data.get("reaction"),
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"setting": data.get("setting"),
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"status": data.get("status"),
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"velocity": data.get("velocity"),
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}
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)
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# Insert data using batch methods
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if node_data:
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await SchemeRepository.insert_nodes_batch(conn, node_data)
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if link_data:
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await SchemeRepository.insert_links_batch(conn, link_data)
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@staticmethod
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def store_scheme_simulation_result_sync(
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conn: Connection,
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scheme_type: str,
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scheme_name: str,
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node_result_list: List[Dict[str, any]],
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link_result_list: List[Dict[str, any]],
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result_start_time: str,
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num_periods: int = 1,
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):
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"""
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Store scheme simulation results to TimescaleDB (sync version).
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Args:
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conn: Database connection
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scheme_type: Scheme type
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scheme_name: Scheme name
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node_result_list: List of node simulation results
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link_result_list: List of link simulation results
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result_start_time: Start time for the results (ISO format string)
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"""
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# Convert result_start_time string to datetime if needed
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if isinstance(result_start_time, str):
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# 如果是ISO格式字符串，解析并转换为UTC+8
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if result_start_time.endswith("Z"):
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# UTC时间，转换为UTC+8
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utc_time = datetime.fromisoformat(
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result_start_time.replace("Z", "+00:00")
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)
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simulation_time = utc_time.astimezone(UTC_8)
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else:
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# 假设已经是UTC+8时间
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|
simulation_time = datetime.fromisoformat(result_start_time)
|
|
if simulation_time.tzinfo is None:
|
|
simulation_time = simulation_time.replace(tzinfo=UTC_8)
|
|
else:
|
|
simulation_time = result_start_time
|
|
if simulation_time.tzinfo is None:
|
|
simulation_time = simulation_time.replace(tzinfo=UTC_8)
|
|
|
|
timestep_parts = globals.hydraulic_timestep.split(":")
|
|
timestep = timedelta(
|
|
hours=int(timestep_parts[0]),
|
|
minutes=int(timestep_parts[1]),
|
|
seconds=int(timestep_parts[2]),
|
|
)
|
|
|
|
# Prepare node data for batch insert
|
|
node_data = []
|
|
for node_result in node_result_list:
|
|
node_id = node_result.get("node")
|
|
for period_index in range(num_periods):
|
|
current_time = simulation_time + (timestep * period_index)
|
|
data = node_result.get("result", [])[period_index]
|
|
node_data.append(
|
|
{
|
|
"time": current_time,
|
|
"scheme_type": scheme_type,
|
|
"scheme_name": scheme_name,
|
|
"id": node_id,
|
|
"actual_demand": data.get("demand"),
|
|
"total_head": data.get("head"),
|
|
"pressure": data.get("pressure"),
|
|
"quality": data.get("quality"),
|
|
}
|
|
)
|
|
|
|
# Prepare link data for batch insert
|
|
link_data = []
|
|
for link_result in link_result_list:
|
|
link_id = link_result.get("link")
|
|
for period_index in range(num_periods):
|
|
current_time = simulation_time + (timestep * period_index)
|
|
data = link_result.get("result", [])[period_index]
|
|
link_data.append(
|
|
{
|
|
"time": current_time,
|
|
"scheme_type": scheme_type,
|
|
"scheme_name": scheme_name,
|
|
"id": link_id,
|
|
"flow": data.get("flow"),
|
|
"friction": data.get("friction"),
|
|
"headloss": data.get("headloss"),
|
|
"quality": data.get("quality"),
|
|
"reaction": data.get("reaction"),
|
|
"setting": data.get("setting"),
|
|
"status": data.get("status"),
|
|
"velocity": data.get("velocity"),
|
|
}
|
|
)
|
|
|
|
# Insert data using batch methods
|
|
if node_data:
|
|
SchemeRepository.insert_nodes_batch_sync(conn, node_data)
|
|
|
|
if link_data:
|
|
SchemeRepository.insert_links_batch_sync(conn, link_data)
|
|
|
|
@staticmethod
|
|
async def query_all_record_by_scheme_time_property(
|
|
conn: AsyncConnection,
|
|
scheme_type: str,
|
|
scheme_name: str,
|
|
query_time: str,
|
|
type: str,
|
|
property: str,
|
|
) -> list:
|
|
"""
|
|
Query all records by scheme, time and property from TimescaleDB.
|
|
|
|
Args:
|
|
conn: Database connection
|
|
scheme_type: Scheme type
|
|
scheme_name: Scheme name
|
|
query_time: Time to query (ISO format string)
|
|
type: Type of data ("node" or "link")
|
|
property: Property/field to query
|
|
|
|
Returns:
|
|
List of records matching the criteria
|
|
"""
|
|
# Convert query_time string to datetime
|
|
if isinstance(query_time, str):
|
|
if query_time.endswith("Z"):
|
|
# UTC时间，转换为UTC+8
|
|
utc_time = datetime.fromisoformat(query_time.replace("Z", "+00:00"))
|
|
target_time = utc_time.astimezone(UTC_8)
|
|
else:
|
|
# 假设已经是UTC+8时间
|
|
target_time = datetime.fromisoformat(query_time)
|
|
if target_time.tzinfo is None:
|
|
target_time = target_time.replace(tzinfo=UTC_8)
|
|
else:
|
|
target_time = query_time
|
|
if target_time.tzinfo is None:
|
|
target_time = target_time.replace(tzinfo=UTC_8)
|
|
|
|
# Create time range: query_time ± 1 second
|
|
start_time = target_time - timedelta(seconds=1)
|
|
end_time = target_time + timedelta(seconds=1)
|
|
|
|
# Query based on type
|
|
if type.lower() == "node":
|
|
data = await SchemeRepository.get_nodes_field_by_scheme_and_time_range(
|
|
conn, scheme_type, scheme_name, start_time, end_time, property
|
|
)
|
|
elif type.lower() == "link":
|
|
data = await SchemeRepository.get_links_field_by_scheme_and_time_range(
|
|
conn, scheme_type, scheme_name, start_time, end_time, property
|
|
)
|
|
else:
|
|
raise ValueError(f"Invalid type: {type}. Must be 'node' or 'link'")
|
|
|
|
# Format the results
|
|
results = [{"ID": item["id"], "value": item["value"]} for item in data]
|
|
return {"results": results}
|
|
|
|
@staticmethod
|
|
async def query_scheme_simulation_result_by_ID_time(
|
|
conn: AsyncConnection,
|
|
scheme_type: str,
|
|
scheme_name: str,
|
|
ID: str,
|
|
type: str,
|
|
query_time: str,
|
|
) -> list[dict]:
|
|
"""
|
|
Query scheme simulation results by ID and time from TimescaleDB.
|
|
|
|
Args:
|
|
conn: Database connection
|
|
scheme_type: Scheme type
|
|
scheme_name: Scheme name
|
|
ID: The ID of the node or link
|
|
type: Type of data ("node" or "link")
|
|
query_time: Time to query (ISO format string)
|
|
|
|
Returns:
|
|
List of records matching the criteria
|
|
"""
|
|
# Convert query_time string to datetime
|
|
if isinstance(query_time, str):
|
|
if query_time.endswith("Z"):
|
|
# UTC时间，转换为UTC+8
|
|
utc_time = datetime.fromisoformat(query_time.replace("Z", "+00:00"))
|
|
target_time = utc_time.astimezone(UTC_8)
|
|
else:
|
|
# 假设已经是UTC+8时间
|
|
target_time = datetime.fromisoformat(query_time)
|
|
if target_time.tzinfo is None:
|
|
target_time = target_time.replace(tzinfo=UTC_8)
|
|
else:
|
|
target_time = query_time
|
|
if target_time.tzinfo is None:
|
|
target_time = target_time.replace(tzinfo=UTC_8)
|
|
|
|
# Create time range: query_time ± 1 second
|
|
start_time = target_time - timedelta(seconds=1)
|
|
end_time = target_time + timedelta(seconds=1)
|
|
|
|
# Query based on type
|
|
if type.lower() == "node":
|
|
return await SchemeRepository.get_node_by_scheme_and_time_range(
|
|
conn, scheme_type, scheme_name, start_time, end_time, ID
|
|
)
|
|
elif type.lower() == "link":
|
|
return await SchemeRepository.get_link_by_scheme_and_time_range(
|
|
conn, scheme_type, scheme_name, start_time, end_time, ID
|
|
)
|
|
else:
|
|
raise ValueError(f"Invalid type: {type}. Must be 'node' or 'link'")
|