121 lines
5.4 KiB
Python
121 lines
5.4 KiB
Python
import influxdb_api
|
||
import globals
|
||
from datetime import datetime, timedelta, timezone
|
||
import schedule
|
||
import time
|
||
from influxdb_client import InfluxDBClient, BucketsApi, WriteApi, OrganizationsApi, Point, QueryApi
|
||
import simulation
|
||
import influxdb_info
|
||
|
||
# 2025/02/01
|
||
def get_next_time() -> str:
|
||
"""
|
||
获取下一个1分钟时间点，返回格式为字符串'YYYY-MM-DDTHH:MM:00+08:00'
|
||
:return: 返回字符串格式的时间，表示下一个1分钟的时间点
|
||
"""
|
||
# 获取当前时间，并设定为北京时间
|
||
now = datetime.now() # now 类型为 datetime，表示当前本地时间
|
||
# 获取当前的分钟，并且将秒和微秒置为零
|
||
current_time = now.replace(second=0, microsecond=0) # current_time 类型为 datetime，时间的秒和微秒部分被清除
|
||
return current_time.strftime('%Y-%m-%dT%H:%M:%S+08:00')
|
||
|
||
|
||
# 2025/02/06
|
||
def store_realtime_SCADA_data_job() -> None:
|
||
"""
|
||
定义的任务1，每分钟执行1次，每次执行时，更新get_real_value_time并调用store_realtime_SCADA_data_to_influxdb函数
|
||
:return: None
|
||
"""
|
||
# 获取当前时间并更新get_real_value_time，转换为字符串格式
|
||
get_real_value_time: str = get_next_time() # get_real_value_time 类型为 str，格式为'2025-02-01T18:45:00+08:00'
|
||
# 调用函数执行任务
|
||
influxdb_api.store_realtime_SCADA_data_to_influxdb(get_real_value_time)
|
||
print('{} -- Successfully store realtime SCADA data.'.format(
|
||
datetime.now().strftime('%Y-%m-%d %H:%M:%S')))
|
||
|
||
|
||
# 2025/02/06
|
||
def get_next_15minute_time() -> str:
|
||
"""
|
||
获取下一个15分钟的时间点，返回格式为字符串'YYYY-MM-DDTHH:MM:00+08:00'
|
||
:return: 返回字符串格式的时间，表示下一个15分钟执行时间点
|
||
"""
|
||
now = datetime.now()
|
||
# 向上舍入到下一个15分钟
|
||
next_15minute = (now.minute // 15 + 1) * 15 - 15
|
||
if next_15minute == 60:
|
||
next_15minute = 0
|
||
now = now + timedelta(hours=1)
|
||
|
||
next_time = now.replace(minute=next_15minute, second=0, microsecond=0)
|
||
return next_time.strftime('%Y-%m-%dT%H:%M:%S+08:00')
|
||
|
||
|
||
# 2025/02/07
|
||
def run_simulation_job() -> None:
|
||
"""
|
||
定义的任务3，每15分钟执行一次在store_realtime_SCADA_data_to_influxdb之后执行run_simulation。
|
||
:return: None
|
||
"""
|
||
# 获取当前时间，并检查是否是整点15分钟
|
||
current_time = datetime.now()
|
||
if current_time.minute % 15 == 0:
|
||
print(f"{current_time.strftime('%Y-%m-%d %H:%M:%S')} -- Start simulation task.")
|
||
|
||
# 计算前，获取scada_info中的信息，按照设定的方法修改pg数据库
|
||
simulation.query_corresponding_element_id_and_query_id("bb")
|
||
simulation.query_corresponding_pattern_id_and_query_id('bb')
|
||
region_result = simulation.query_non_realtime_region('bb')
|
||
|
||
globals.source_outflow_region_id = simulation.get_source_outflow_region_id('bb', region_result)
|
||
globals.realtime_region_pipe_flow_and_demand_id = simulation.query_realtime_region_pipe_flow_and_demand_id('bb', region_result)
|
||
globals.pipe_flow_region_patterns = simulation.query_pipe_flow_region_patterns('bb')
|
||
|
||
globals.non_realtime_region_patterns = simulation.query_non_realtime_region_patterns('bb', region_result)
|
||
globals.source_outflow_region_patterns, realtime_region_pipe_flow_and_demand_patterns = simulation.get_realtime_region_patterns('bb',
|
||
globals.source_outflow_region_id,
|
||
globals.realtime_region_pipe_flow_and_demand_id)
|
||
modify_pattern_start_time: str = get_next_15minute_time() # 获取下一个15分钟时间点
|
||
# print(modify_pattern_start_time)
|
||
simulation.run_simulation(name='bb', simulation_type="realtime",
|
||
modify_pattern_start_time=modify_pattern_start_time)
|
||
print('{} -- Successfully run simulation and store realtime simulation result.'.format(
|
||
datetime.now().strftime('%Y-%m-%d %H:%M:%S')))
|
||
else:
|
||
print(f"{current_time.strftime('%Y-%m-%d %H:%M:%S')} -- Skipping the simulation task.")
|
||
|
||
|
||
# 2025/02/06
|
||
def realtime_task() -> None:
|
||
"""
|
||
定时执行任务1和，使用schedule库每1分钟执行一次store_realtime_SCADA_data_job函数。
|
||
该任务会一直运行，定期调用store_realtime_SCADA_data_job获取SCADA数据。
|
||
:return:
|
||
"""
|
||
# 等待到整分对齐
|
||
now = datetime.now()
|
||
wait_seconds = 60 - now.second
|
||
time.sleep(wait_seconds)
|
||
|
||
# 使用 .at(":00") 指定在每分钟的第0秒执行
|
||
schedule.every(1).minute.at(":00").do(store_realtime_SCADA_data_job)
|
||
# 每15分钟执行一次run_simulation_job
|
||
schedule.every(1).minute.at(":00").do(run_simulation_job)
|
||
# 持续执行任务，检查是否有待执行的任务
|
||
while True:
|
||
schedule.run_pending() # 执行所有待处理的定时任务
|
||
time.sleep(1) # 暂停1秒，避免过于频繁的任务检查
|
||
|
||
|
||
if __name__ == "__main__":
|
||
url = influxdb_info.url
|
||
token = influxdb_info.token
|
||
org_name = influxdb_info.org
|
||
|
||
client = InfluxDBClient(url=url, token=token)
|
||
|
||
# step2: 先查询pg数据库中scada_info的信息，然后存储SCADA数据到SCADA_data这个bucket里
|
||
influxdb_api.query_pg_scada_info_realtime('bb')
|
||
# 自动执行
|
||
realtime_task()
|