123 lines
4.5 KiB
Python
123 lines
4.5 KiB
Python
from typing import List
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from fastapi.logger import logger
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from timescaledb.schemas.scheme import SchemeRepository
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from timescaledb.schemas.realtime import RealtimeRepository
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import timescaledb.timescaledb_info as timescaledb_info
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from datetime import datetime, timedelta
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from timescaledb.schemas.scada import ScadaRepository
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import psycopg
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import time
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# 内部使用存储类
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class InternalStorage:
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@staticmethod
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def store_realtime_simulation(
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node_result_list: List[dict],
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link_result_list: List[dict],
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result_start_time: str,
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db_name: str = None,
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max_retries: int = 3,
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):
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"""存储实时模拟结果"""
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for attempt in range(max_retries):
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try:
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conn_string = (
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timescaledb_info.get_pgconn_string(db_name=db_name)
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if db_name
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else timescaledb_info.get_pgconn_string()
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)
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with psycopg.Connection.connect(conn_string) as conn:
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RealtimeRepository.store_realtime_simulation_result_sync(
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conn, node_result_list, link_result_list, result_start_time
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)
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break # 成功
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except Exception as e:
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logger.error(f"存储尝试 {attempt + 1} 失败: {e}")
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if attempt < max_retries - 1:
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time.sleep(1) # 重试前等待
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else:
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raise # 达到最大重试次数后抛出异常
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@staticmethod
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def store_scheme_simulation(
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scheme_type: str,
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scheme_name: str,
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node_result_list: List[dict],
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link_result_list: List[dict],
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result_start_time: str,
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num_periods: int = 1,
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db_name: str = None,
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max_retries: int = 3,
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):
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"""存储方案模拟结果"""
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for attempt in range(max_retries):
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try:
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conn_string = (
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timescaledb_info.get_pgconn_string(db_name=db_name)
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if db_name
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else timescaledb_info.get_pgconn_string()
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)
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with psycopg.Connection.connect(conn_string) as conn:
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SchemeRepository.store_scheme_simulation_result_sync(
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conn,
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scheme_type,
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scheme_name,
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node_result_list,
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link_result_list,
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result_start_time,
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num_periods,
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)
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break # 成功
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except Exception as e:
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logger.error(f"存储尝试 {attempt + 1} 失败: {e}")
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if attempt < max_retries - 1:
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time.sleep(1) # 重试前等待
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else:
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raise # 达到最大重试次数后抛出异常
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@staticmethod
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def query_scada_by_ids_time(
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device_ids: List[str],
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query_time: str,
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db_name: str = None,
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max_retries: int = 3,
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) -> dict:
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"""查询指定时间点的 SCADA 数据"""
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# 解析时间,假设是北京时间
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beijing_time = datetime.fromisoformat(query_time)
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start_time = beijing_time - timedelta(seconds=1)
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end_time = beijing_time + timedelta(seconds=1)
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for attempt in range(max_retries):
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try:
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conn_string = (
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timescaledb_info.get_pgconn_string(db_name=db_name)
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if db_name
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else timescaledb_info.get_pgconn_string()
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)
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with psycopg.Connection.connect(conn_string) as conn:
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rows = ScadaRepository.get_scada_by_ids_time_range_sync(
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conn, device_ids, start_time, end_time
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)
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# 处理结果,返回每个 device_id 的第一个值
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result = {}
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for device_id in device_ids:
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device_rows = [
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row for row in rows if row["device_id"] == device_id
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]
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if device_rows:
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result[device_id] = device_rows[0]["monitored_value"]
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else:
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result[device_id] = None
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return result
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except Exception as e:
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logger.error(f"查询尝试 {attempt + 1} 失败: {e}")
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if attempt < max_retries - 1:
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time.sleep(1)
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else:
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raise
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