1086 lines
57 KiB
Python
1086 lines
57 KiB
Python
import time
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from datetime import datetime, timedelta
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from decimal import Decimal
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import mysql.connector
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from multiprocessing import Pool
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import random
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import config
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########################################################################################################################
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# PROCEDURES
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# Step 1: get all spaces
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# Step 2: Create multiprocessing pool to call worker in parallel
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########################################################################################################################
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def main(logger):
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while True:
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# the outermost while loop
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################################################################################################################
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# Step 1: get all spaces
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################################################################################################################
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cnx_system_db = None
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cursor_system_db = None
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try:
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cnx_system_db = mysql.connector.connect(**config.myems_system_db)
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cursor_system_db = cnx_system_db.cursor()
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except Exception as e:
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logger.error("Error in step 1.1 of space_energy_input_item.main " + str(e))
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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# sleep and continue the outer loop to reconnect the database
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time.sleep(60)
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continue
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print("Connected to MyEMS System Database")
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space_list = list()
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try:
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cursor_system_db.execute(" SELECT id, name "
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" FROM tbl_spaces "
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" ORDER BY id ")
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rows_spaces = cursor_system_db.fetchall()
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if rows_spaces is None or len(rows_spaces) == 0:
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print("There isn't any spaces ")
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# sleep and continue the outer loop to reconnect the database
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time.sleep(60)
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continue
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for row in rows_spaces:
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space_list.append({"id": row[0], "name": row[1]})
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except Exception as e:
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logger.error("Error in step 1.2 of space_energy_input_item.main " + str(e))
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# sleep and continue the outer loop to reconnect the database
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time.sleep(60)
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continue
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finally:
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print("Got all spaces in MyEMS System Database")
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# shuffle the space list for randomly calculating the meter hourly value
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random.shuffle(space_list)
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################################################################################################################
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# Step 2: Create multiprocessing pool to call worker in parallel
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################################################################################################################
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p = Pool(processes=config.pool_size)
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error_list = p.map(worker, space_list)
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p.close()
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p.join()
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for error in error_list:
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if error is not None and len(error) > 0:
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logger.error(error)
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print("go to sleep 300 seconds...")
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time.sleep(300)
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print("wake from sleep, and continue to work...")
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# end of outer while
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########################################################################################################################
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# PROCEDURES:
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# Step 1: get all input meters associated with the space
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# Step 2: get all input virtual meters associated with the space
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# Step 3: get all input offline meters associated with the space
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# Step 4: get all combined equipments associated with the space
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# Step 5: get all equipments associated with the space
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# Step 6: get all shopfloors associated with the space
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# Step 7: get all stores associated with the space
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# Step 8: get all tenants associated with the space
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# Step 9: get all child spaces associated with the space
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# Step 10: determine start datetime and end datetime to aggregate
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# Step 11: for each meter in list, get energy input data from energy database
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# Step 12: for each virtual meter in list, get energy input data from energy database
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# Step 13: for each offline meter in list, get energy input data from energy database
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# Step 14: for each combined equipment in list, get energy input data from energy database
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# Step 15: for each equipment in list, get energy input data from energy database
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# Step 16: for each shopfloor in list, get energy input data from energy database
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# Step 17: for each store in list, get energy input data from energy database
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# Step 18: for each tenant in list, get energy input data from energy database
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# Step 19: for each child space in list, get energy input data from energy database
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# Step 20: determine common time slot to aggregate
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# Step 21: aggregate energy data in the common time slot by energy items and hourly
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# Step 22: save energy data to energy database
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#
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# NOTE: returns None or the error string because that the logger object cannot be passed in as parameter
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########################################################################################################################
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def worker(space):
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####################################################################################################################
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# Step 1: get all input meters associated with the space
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####################################################################################################################
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print("Step 1: get all input meters associated with the space " + str(space['name']))
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cnx_system_db = None
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cursor_system_db = None
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try:
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cnx_system_db = mysql.connector.connect(**config.myems_system_db)
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cursor_system_db = cnx_system_db.cursor()
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except Exception as e:
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error_string = "Error in step 1.1 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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meter_list = list()
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try:
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cursor_system_db.execute(" SELECT m.id, m.name, m.energy_item_id "
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" FROM tbl_meters m, tbl_spaces_meters sm "
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" WHERE m.id = sm.meter_id "
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" AND m.is_counted = true "
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" AND m.energy_item_id is NOT NULL "
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" AND sm.space_id = %s ",
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(space['id'],))
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rows_meters = cursor_system_db.fetchall()
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if rows_meters is not None and len(rows_meters) > 0:
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for row in rows_meters:
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meter_list.append({"id": row[0],
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"name": row[1],
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"energy_item_id": row[2]})
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except Exception as e:
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error_string = "Error in step 1.2 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 2: get all input virtual meters associated with the space
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####################################################################################################################
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print("Step 2: get all input virtual meters associated with the space")
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virtual_meter_list = list()
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try:
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cursor_system_db.execute(" SELECT m.id, m.name, m.energy_item_id "
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" FROM tbl_virtual_meters m, tbl_spaces_virtual_meters sm "
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" WHERE m.id = sm.virtual_meter_id "
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" AND m.is_counted = true "
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" AND m.energy_item_id is NOT NULL "
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" AND sm.space_id = %s ",
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(space['id'],))
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rows_virtual_meters = cursor_system_db.fetchall()
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if rows_virtual_meters is not None and len(rows_virtual_meters) > 0:
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for row in rows_virtual_meters:
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virtual_meter_list.append({"id": row[0],
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"name": row[1],
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"energy_item_id": row[2]})
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except Exception as e:
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error_string = "Error in step 2 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 3: get all input offline meters associated with the space
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####################################################################################################################
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print("Step 3: get all input offline meters associated with the space")
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offline_meter_list = list()
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try:
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cursor_system_db.execute(" SELECT m.id, m.name, m.energy_item_id "
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" FROM tbl_offline_meters m, tbl_spaces_offline_meters sm "
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" WHERE m.id = sm.offline_meter_id "
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" AND m.is_counted = true "
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" AND m.energy_item_id is NOT NULL "
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" AND sm.space_id = %s ",
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(space['id'],))
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rows_offline_meters = cursor_system_db.fetchall()
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if rows_offline_meters is not None and len(rows_offline_meters) > 0:
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for row in rows_offline_meters:
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offline_meter_list.append({"id": row[0],
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"name": row[1],
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"energy_item_id": row[2]})
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except Exception as e:
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error_string = "Error in step 3 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 4: get all combined equipments associated with the space
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####################################################################################################################
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print("Step 4: get all combined equipments associated with the space")
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combined_equipment_list = list()
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try:
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cursor_system_db.execute(" SELECT e.id, e.name "
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" FROM tbl_combined_equipments e, tbl_spaces_combined_equipments se "
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" WHERE e.id = se.combined_equipment_id "
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" AND e.is_input_counted = true "
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" AND se.space_id = %s ",
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(space['id'],))
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rows_combined_equipments = cursor_system_db.fetchall()
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if rows_combined_equipments is not None and len(rows_combined_equipments) > 0:
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for row in rows_combined_equipments:
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combined_equipment_list.append({"id": row[0],
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"name": row[1]})
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except Exception as e:
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error_string = "Error in step 4 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 5: get all equipments associated with the space
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####################################################################################################################
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print("Step 5: get all equipments associated with the space")
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equipment_list = list()
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try:
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cursor_system_db.execute(" SELECT e.id, e.name "
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" FROM tbl_equipments e, tbl_spaces_equipments se "
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" WHERE e.id = se.equipment_id "
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" AND e.is_input_counted = true "
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" AND se.space_id = %s ",
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(space['id'],))
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rows_equipments = cursor_system_db.fetchall()
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if rows_equipments is not None and len(rows_equipments) > 0:
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for row in rows_equipments:
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equipment_list.append({"id": row[0],
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"name": row[1]})
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except Exception as e:
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error_string = "Error in step 5 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 6: get all shopfloors associated with the space
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####################################################################################################################
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print("Step 6: get all shopfloors associated with the space")
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shopfloor_list = list()
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try:
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cursor_system_db.execute(" SELECT s.id, s.name "
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" FROM tbl_shopfloors s, tbl_spaces_shopfloors ss "
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" WHERE s.id = ss.shopfloor_id "
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" AND s.is_input_counted = true "
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" AND ss.space_id = %s ",
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(space['id'],))
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rows_shopfloors = cursor_system_db.fetchall()
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if rows_shopfloors is not None and len(rows_shopfloors) > 0:
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for row in rows_shopfloors:
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shopfloor_list.append({"id": row[0],
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"name": row[1]})
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except Exception as e:
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error_string = "Error in step 6 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 7: get all stores associated with the space
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####################################################################################################################
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print("Step 7: get all stores associated with the space")
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store_list = list()
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try:
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cursor_system_db.execute(" SELECT s.id, s.name "
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" FROM tbl_stores s, tbl_spaces_stores ss "
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" WHERE s.id = ss.store_id "
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" AND s.is_input_counted = true "
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" AND ss.space_id = %s ",
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(space['id'],))
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rows_stores = cursor_system_db.fetchall()
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if rows_stores is not None and len(rows_stores) > 0:
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for row in rows_stores:
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store_list.append({"id": row[0],
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"name": row[1]})
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except Exception as e:
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error_string = "Error in step 7 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 8: get all tenants associated with the space
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####################################################################################################################
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print("Step 8: get all tenants associated with the space")
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tenant_list = list()
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try:
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cursor_system_db.execute(" SELECT t.id, t.name "
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" FROM tbl_tenants t, tbl_spaces_tenants st "
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" WHERE t.id = st.tenant_id "
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" AND t.is_input_counted = true "
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" AND st.space_id = %s ",
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(space['id'],))
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rows_tenants = cursor_system_db.fetchall()
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if rows_tenants is not None and len(rows_tenants) > 0:
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for row in rows_tenants:
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tenant_list.append({"id": row[0],
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"name": row[1]})
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except Exception as e:
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error_string = "Error in step 8 of space_energy_input_item.worker " + str(e)
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 9: get all child spaces associated with the space
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####################################################################################################################
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print("Step 9: get all child spaces associated with the space")
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child_space_list = list()
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try:
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cursor_system_db.execute(" SELECT id, name "
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" FROM tbl_spaces "
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" WHERE is_input_counted = true "
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" AND parent_space_id = %s ",
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(space['id'],))
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rows_child_spaces = cursor_system_db.fetchall()
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if rows_child_spaces is not None and len(rows_child_spaces) > 0:
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for row in rows_child_spaces:
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child_space_list.append({"id": row[0],
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"name": row[1]})
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except Exception as e:
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error_string = "Error in step 9 of space_energy_input_item.worker " + str(e)
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print(error_string)
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return error_string
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finally:
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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if (meter_list is None or len(meter_list) == 0) and \
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(virtual_meter_list is None or len(virtual_meter_list) == 0) and \
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(offline_meter_list is None or len(offline_meter_list) == 0) and \
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(combined_equipment_list is None or len(combined_equipment_list) == 0) and \
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(equipment_list is None or len(equipment_list) == 0) and \
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(shopfloor_list is None or len(shopfloor_list) == 0) and \
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(store_list is None or len(store_list) == 0) and \
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(tenant_list is None or len(tenant_list) == 0) and \
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(child_space_list is None or len(child_space_list) == 0):
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print("This is an empty space ")
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return None
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####################################################################################################################
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# Step 10: determine start datetime and end datetime to aggregate
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####################################################################################################################
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print("Step 10: determine start datetime and end datetime to aggregate")
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cnx_energy_db = None
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cursor_energy_db = None
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try:
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cnx_energy_db = mysql.connector.connect(**config.myems_energy_db)
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cursor_energy_db = cnx_energy_db.cursor()
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except Exception as e:
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error_string = "Error in step 10.1 of space_energy_input_item.worker " + str(e)
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if cursor_energy_db:
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cursor_energy_db.close()
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if cnx_energy_db:
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cnx_energy_db.close()
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print(error_string)
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return error_string
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try:
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query = (" SELECT MAX(start_datetime_utc) "
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" FROM tbl_space_input_item_hourly "
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" WHERE space_id = %s ")
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cursor_energy_db.execute(query, (space['id'],))
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row_datetime = cursor_energy_db.fetchone()
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start_datetime_utc = datetime.strptime(config.start_datetime_utc, '%Y-%m-%d %H:%M:%S')
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start_datetime_utc = start_datetime_utc.replace(minute=0, second=0, microsecond=0, tzinfo=None)
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if row_datetime is not None and len(row_datetime) > 0 and isinstance(row_datetime[0], datetime):
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# replace second and microsecond with 0
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# note: do not replace minute in case of calculating in half hourly
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start_datetime_utc = row_datetime[0].replace(second=0, microsecond=0, tzinfo=None)
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# start from the next time slot
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start_datetime_utc += timedelta(minutes=config.minutes_to_count)
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end_datetime_utc = datetime.utcnow().replace(second=0, microsecond=0, tzinfo=None)
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print("start_datetime_utc: " + start_datetime_utc.isoformat()[0:19]
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+ "end_datetime_utc: " + end_datetime_utc.isoformat()[0:19])
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except Exception as e:
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error_string = "Error in step 10.2 of space_energy_input_item.worker " + str(e)
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if cursor_energy_db:
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cursor_energy_db.close()
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if cnx_energy_db:
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cnx_energy_db.close()
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print(error_string)
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return error_string
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####################################################################################################################
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# Step 11: for each meter in list, get energy input data from energy database
|
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####################################################################################################################
|
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energy_meter_hourly = dict()
|
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try:
|
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if meter_list is not None and len(meter_list) > 0:
|
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for meter in meter_list:
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meter_id = str(meter['id'])
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query = (" SELECT start_datetime_utc, actual_value "
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" FROM tbl_meter_hourly "
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" WHERE meter_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s "
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" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (meter_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_meter_hourly[meter_id] = None
|
|
else:
|
|
energy_meter_hourly[meter_id] = dict()
|
|
for row_energy_value in rows_energy_values:
|
|
energy_meter_hourly[meter_id][row_energy_value[0]] = row_energy_value[1]
|
|
except Exception as e:
|
|
error_string = "Error in step 11 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 12: for each virtual meter in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_virtual_meter_hourly = dict()
|
|
if virtual_meter_list is not None and len(virtual_meter_list) > 0:
|
|
try:
|
|
for virtual_meter in virtual_meter_list:
|
|
virtual_meter_id = str(virtual_meter['id'])
|
|
|
|
query = (" SELECT start_datetime_utc, actual_value "
|
|
" FROM tbl_virtual_meter_hourly "
|
|
" WHERE virtual_meter_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (virtual_meter_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_virtual_meter_hourly[virtual_meter_id] = None
|
|
else:
|
|
energy_virtual_meter_hourly[virtual_meter_id] = dict()
|
|
for row_energy_value in rows_energy_values:
|
|
energy_virtual_meter_hourly[virtual_meter_id][row_energy_value[0]] = row_energy_value[1]
|
|
except Exception as e:
|
|
error_string = "Error in step 12 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 13: for each offline meter in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_offline_meter_hourly = dict()
|
|
if offline_meter_list is not None and len(offline_meter_list) > 0:
|
|
try:
|
|
for offline_meter in offline_meter_list:
|
|
offline_meter_id = str(offline_meter['id'])
|
|
|
|
query = (" SELECT start_datetime_utc, actual_value "
|
|
" FROM tbl_offline_meter_hourly "
|
|
" WHERE offline_meter_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (offline_meter_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_offline_meter_hourly[offline_meter_id] = None
|
|
else:
|
|
energy_offline_meter_hourly[offline_meter_id] = dict()
|
|
for row_energy_value in rows_energy_values:
|
|
energy_offline_meter_hourly[offline_meter_id][row_energy_value[0]] = row_energy_value[1]
|
|
|
|
except Exception as e:
|
|
error_string = "Error in step 13 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 14: for each combined equipment in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_combined_equipment_hourly = dict()
|
|
if combined_equipment_list is not None and len(combined_equipment_list) > 0:
|
|
try:
|
|
for combined_equipment in combined_equipment_list:
|
|
combined_equipment_id = str(combined_equipment['id'])
|
|
query = (" SELECT start_datetime_utc, energy_item_id, actual_value "
|
|
" FROM tbl_combined_equipment_input_item_hourly "
|
|
" WHERE combined_equipment_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (combined_equipment_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_combined_equipment_hourly[combined_equipment_id] = None
|
|
else:
|
|
energy_combined_equipment_hourly[combined_equipment_id] = dict()
|
|
for row_value in rows_energy_values:
|
|
current_datetime_utc = row_value[0]
|
|
if current_datetime_utc not in energy_combined_equipment_hourly[combined_equipment_id]:
|
|
energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc] = dict()
|
|
energy_item_id = row_value[1]
|
|
actual_value = row_value[2]
|
|
energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc][energy_item_id] \
|
|
= actual_value
|
|
except Exception as e:
|
|
error_string = "Error in step 14 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 15: for each equipment in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_equipment_hourly = dict()
|
|
if equipment_list is not None and len(equipment_list) > 0:
|
|
try:
|
|
for equipment in equipment_list:
|
|
equipment_id = str(equipment['id'])
|
|
query = (" SELECT start_datetime_utc, energy_item_id, actual_value "
|
|
" FROM tbl_equipment_input_item_hourly "
|
|
" WHERE equipment_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (equipment_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_equipment_hourly[equipment_id] = None
|
|
else:
|
|
energy_equipment_hourly[equipment_id] = dict()
|
|
for row_value in rows_energy_values:
|
|
current_datetime_utc = row_value[0]
|
|
if current_datetime_utc not in energy_equipment_hourly[equipment_id]:
|
|
energy_equipment_hourly[equipment_id][current_datetime_utc] = dict()
|
|
energy_item_id = row_value[1]
|
|
actual_value = row_value[2]
|
|
energy_equipment_hourly[equipment_id][current_datetime_utc][energy_item_id] = \
|
|
actual_value
|
|
except Exception as e:
|
|
error_string = "Error in step 15 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 16: for each shopfloor in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_shopfloor_hourly = dict()
|
|
if shopfloor_list is not None and len(shopfloor_list) > 0:
|
|
try:
|
|
for shopfloor in shopfloor_list:
|
|
shopfloor_id = str(shopfloor['id'])
|
|
|
|
query = (" SELECT start_datetime_utc, energy_item_id, actual_value "
|
|
" FROM tbl_shopfloor_input_item_hourly "
|
|
" WHERE shopfloor_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (shopfloor_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_shopfloor_hourly[shopfloor_id] = None
|
|
else:
|
|
energy_shopfloor_hourly[shopfloor_id] = dict()
|
|
for row_energy_value in rows_energy_values:
|
|
current_datetime_utc = row_energy_value[0]
|
|
if current_datetime_utc not in energy_shopfloor_hourly[shopfloor_id]:
|
|
energy_shopfloor_hourly[shopfloor_id][current_datetime_utc] = dict()
|
|
energy_item_id = row_energy_value[1]
|
|
actual_value = row_energy_value[2]
|
|
energy_shopfloor_hourly[shopfloor_id][current_datetime_utc][energy_item_id] = actual_value
|
|
except Exception as e:
|
|
error_string = "Error in step 16 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 17: for each store in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_store_hourly = dict()
|
|
if store_list is not None and len(store_list) > 0:
|
|
try:
|
|
for store in store_list:
|
|
store_id = str(store['id'])
|
|
|
|
query = (" SELECT start_datetime_utc, energy_item_id, actual_value "
|
|
" FROM tbl_store_input_item_hourly "
|
|
" WHERE store_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (store_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_store_hourly[store_id] = None
|
|
else:
|
|
energy_store_hourly[store_id] = dict()
|
|
for row_energy_value in rows_energy_values:
|
|
current_datetime_utc = row_energy_value[0]
|
|
if current_datetime_utc not in energy_store_hourly[store_id]:
|
|
energy_store_hourly[store_id][current_datetime_utc] = dict()
|
|
energy_item_id = row_energy_value[1]
|
|
actual_value = row_energy_value[2]
|
|
energy_store_hourly[store_id][current_datetime_utc][energy_item_id] = actual_value
|
|
except Exception as e:
|
|
error_string = "Error in step 17 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 18: for each tenant in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_tenant_hourly = dict()
|
|
if tenant_list is not None and len(tenant_list) > 0:
|
|
try:
|
|
for tenant in tenant_list:
|
|
tenant_id = str(tenant['id'])
|
|
|
|
query = (" SELECT start_datetime_utc, energy_item_id, actual_value "
|
|
" FROM tbl_tenant_input_item_hourly "
|
|
" WHERE tenant_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (tenant_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_tenant_hourly[tenant_id] = None
|
|
else:
|
|
energy_tenant_hourly[tenant_id] = dict()
|
|
for row_energy_value in rows_energy_values:
|
|
current_datetime_utc = row_energy_value[0]
|
|
if current_datetime_utc not in energy_tenant_hourly[tenant_id]:
|
|
energy_tenant_hourly[tenant_id][current_datetime_utc] = dict()
|
|
energy_item_id = row_energy_value[1]
|
|
actual_value = row_energy_value[2]
|
|
energy_tenant_hourly[tenant_id][current_datetime_utc][energy_item_id] = actual_value
|
|
except Exception as e:
|
|
error_string = "Error in step 18 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 19: for each child space in list, get energy input data from energy database
|
|
####################################################################################################################
|
|
energy_child_space_hourly = dict()
|
|
if child_space_list is not None and len(child_space_list) > 0:
|
|
try:
|
|
for child_space in child_space_list:
|
|
child_space_id = str(child_space['id'])
|
|
|
|
query = (" SELECT start_datetime_utc, energy_item_id, actual_value "
|
|
" FROM tbl_space_input_item_hourly "
|
|
" WHERE space_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ")
|
|
cursor_energy_db.execute(query, (child_space_id, start_datetime_utc, end_datetime_utc,))
|
|
rows_energy_values = cursor_energy_db.fetchall()
|
|
if rows_energy_values is None or len(rows_energy_values) == 0:
|
|
energy_child_space_hourly[child_space_id] = None
|
|
else:
|
|
energy_child_space_hourly[child_space_id] = dict()
|
|
for row_energy_value in rows_energy_values:
|
|
current_datetime_utc = row_energy_value[0]
|
|
if current_datetime_utc not in energy_child_space_hourly[child_space_id]:
|
|
energy_child_space_hourly[child_space_id][current_datetime_utc] = dict()
|
|
energy_item_id = row_energy_value[1]
|
|
actual_value = row_energy_value[2]
|
|
energy_child_space_hourly[child_space_id][current_datetime_utc][energy_item_id] = actual_value
|
|
except Exception as e:
|
|
error_string = "Error in step 19 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 20: determine common time slot to aggregate
|
|
####################################################################################################################
|
|
|
|
common_start_datetime_utc = start_datetime_utc
|
|
common_end_datetime_utc = end_datetime_utc
|
|
|
|
print("Getting common time slot of energy values for all meters")
|
|
if energy_meter_hourly is not None and len(energy_meter_hourly) > 0:
|
|
for meter_id, energy_hourly in energy_meter_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all virtual meters")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_virtual_meter_hourly is not None and len(energy_virtual_meter_hourly) > 0:
|
|
for meter_id, energy_hourly in energy_virtual_meter_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all offline meters")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_offline_meter_hourly is not None and len(energy_offline_meter_hourly) > 0:
|
|
for meter_id, energy_hourly in energy_offline_meter_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all combined equipments")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_combined_equipment_hourly is not None and len(energy_combined_equipment_hourly) > 0:
|
|
for combined_equipment_id, energy_hourly in energy_combined_equipment_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all equipments")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_equipment_hourly is not None and len(energy_equipment_hourly) > 0:
|
|
for equipment_id, energy_hourly in energy_equipment_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all shopfloors")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_shopfloor_hourly is not None and len(energy_shopfloor_hourly) > 0:
|
|
for shopfloor_id, energy_hourly in energy_shopfloor_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all stores")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_store_hourly is not None and len(energy_store_hourly) > 0:
|
|
for store_id, energy_hourly in energy_store_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all tenants")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_tenant_hourly is not None and len(energy_tenant_hourly) > 0:
|
|
for tenant_id, energy_hourly in energy_tenant_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
print("Getting common time slot of energy values for all child spaces")
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None:
|
|
if energy_child_space_hourly is not None and len(energy_child_space_hourly) > 0:
|
|
for child_space_id, energy_hourly in energy_child_space_hourly.items():
|
|
if energy_hourly is None or len(energy_hourly) == 0:
|
|
common_start_datetime_utc = None
|
|
common_end_datetime_utc = None
|
|
break
|
|
else:
|
|
if common_start_datetime_utc < min(energy_hourly.keys()):
|
|
common_start_datetime_utc = min(energy_hourly.keys())
|
|
if common_end_datetime_utc > max(energy_hourly.keys()):
|
|
common_end_datetime_utc = max(energy_hourly.keys())
|
|
|
|
if (energy_meter_hourly is None or len(energy_meter_hourly) == 0) and \
|
|
(energy_virtual_meter_hourly is None or len(energy_virtual_meter_hourly) == 0) and \
|
|
(energy_offline_meter_hourly is None or len(energy_offline_meter_hourly) == 0) and \
|
|
(energy_combined_equipment_hourly is None or len(energy_combined_equipment_hourly) == 0) and \
|
|
(energy_equipment_hourly is None or len(energy_equipment_hourly) == 0) and \
|
|
(energy_shopfloor_hourly is None or len(energy_shopfloor_hourly) == 0) and \
|
|
(energy_store_hourly is None or len(energy_store_hourly) == 0) and \
|
|
(energy_tenant_hourly is None or len(energy_tenant_hourly) == 0) and \
|
|
(energy_child_space_hourly is None or len(energy_child_space_hourly) == 0):
|
|
# There isn't any energy data
|
|
print("There isn't any energy data")
|
|
# continue the for space loop to the next space
|
|
print("continue the for space loop to the next space")
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
return None
|
|
|
|
print("common_start_datetime_utc: " + str(common_start_datetime_utc))
|
|
print("common_end_datetime_utc: " + str(common_end_datetime_utc))
|
|
|
|
####################################################################################################################
|
|
# Step 21: aggregate energy data in the common time slot by energy items and hourly
|
|
####################################################################################################################
|
|
|
|
print("Step 21: aggregate energy data in the common time slot by energy items and hourly")
|
|
aggregated_values = list()
|
|
try:
|
|
current_datetime_utc = common_start_datetime_utc
|
|
while common_start_datetime_utc is not None \
|
|
and common_end_datetime_utc is not None \
|
|
and current_datetime_utc <= common_end_datetime_utc:
|
|
aggregated_value = dict()
|
|
aggregated_value['start_datetime_utc'] = current_datetime_utc
|
|
aggregated_value['meta_data'] = dict()
|
|
|
|
if meter_list is not None and len(meter_list) > 0:
|
|
for meter in meter_list:
|
|
meter_id = str(meter['id'])
|
|
energy_item_id = meter['energy_item_id']
|
|
actual_value = energy_meter_hourly[meter_id].get(current_datetime_utc, Decimal(0.0))
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if virtual_meter_list is not None and len(virtual_meter_list) > 0:
|
|
for virtual_meter in virtual_meter_list:
|
|
virtual_meter_id = str(virtual_meter['id'])
|
|
energy_item_id = virtual_meter['energy_item_id']
|
|
actual_value = energy_virtual_meter_hourly[virtual_meter_id].get(current_datetime_utc, Decimal(0.0))
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if offline_meter_list is not None and len(offline_meter_list) > 0:
|
|
for offline_meter in offline_meter_list:
|
|
offline_meter_id = str(offline_meter['id'])
|
|
energy_item_id = offline_meter['energy_item_id']
|
|
actual_value = energy_offline_meter_hourly[offline_meter_id].get(current_datetime_utc, Decimal(0.0))
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if combined_equipment_list is not None and len(combined_equipment_list) > 0:
|
|
for combined_equipment in combined_equipment_list:
|
|
combined_equipment_id = str(combined_equipment['id'])
|
|
meta_data_dict = \
|
|
energy_combined_equipment_hourly[combined_equipment_id].get(current_datetime_utc, None)
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0:
|
|
for energy_item_id, actual_value in meta_data_dict.items():
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if equipment_list is not None and len(equipment_list) > 0:
|
|
for equipment in equipment_list:
|
|
equipment_id = str(equipment['id'])
|
|
meta_data_dict = energy_equipment_hourly[equipment_id].get(current_datetime_utc, None)
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0:
|
|
for energy_item_id, actual_value in meta_data_dict.items():
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if shopfloor_list is not None and len(shopfloor_list) > 0:
|
|
for shopfloor in shopfloor_list:
|
|
shopfloor_id = str(shopfloor['id'])
|
|
meta_data_dict = energy_store_hourly[shopfloor_id].get(current_datetime_utc, None)
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0:
|
|
for energy_item_id, actual_value in meta_data_dict.items():
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if store_list is not None and len(store_list) > 0:
|
|
for store in store_list:
|
|
store_id = str(store['id'])
|
|
meta_data_dict = energy_store_hourly[store_id].get(current_datetime_utc, None)
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0:
|
|
for energy_item_id, actual_value in meta_data_dict.items():
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if tenant_list is not None and len(tenant_list) > 0:
|
|
for tenant in tenant_list:
|
|
tenant_id = str(tenant['id'])
|
|
meta_data_dict = energy_tenant_hourly[tenant_id].get(current_datetime_utc, None)
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0:
|
|
for energy_item_id, actual_value in meta_data_dict.items():
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
if child_space_list is not None and len(child_space_list) > 0:
|
|
for child_space in child_space_list:
|
|
child_space_id = str(child_space['id'])
|
|
meta_data_dict = energy_child_space_hourly[child_space_id].get(current_datetime_utc, None)
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0:
|
|
for energy_item_id, actual_value in meta_data_dict.items():
|
|
aggregated_value['meta_data'][energy_item_id] = \
|
|
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
|
|
|
|
aggregated_values.append(aggregated_value)
|
|
|
|
current_datetime_utc += timedelta(minutes=config.minutes_to_count)
|
|
|
|
except Exception as e:
|
|
error_string = "Error in step 19 of space_energy_input_item.worker " + str(e)
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
print(error_string)
|
|
return error_string
|
|
|
|
####################################################################################################################
|
|
# Step 22: save energy data to energy database
|
|
####################################################################################################################
|
|
print("Step 22: save energy data to energy database")
|
|
|
|
if len(aggregated_values) > 0:
|
|
try:
|
|
add_values = (" INSERT INTO tbl_space_input_item_hourly "
|
|
" (space_id, "
|
|
" energy_item_id, "
|
|
" start_datetime_utc, "
|
|
" actual_value) "
|
|
" VALUES ")
|
|
|
|
for aggregated_value in aggregated_values:
|
|
for energy_item_id, actual_value in aggregated_value['meta_data'].items():
|
|
add_values += " (" + str(space['id']) + ","
|
|
add_values += " " + str(energy_item_id) + ","
|
|
add_values += "'" + aggregated_value['start_datetime_utc'].isoformat()[0:19] + "',"
|
|
add_values += str(actual_value) + "), "
|
|
print("add_values:" + add_values)
|
|
# trim ", " at the end of string and then execute
|
|
cursor_energy_db.execute(add_values[:-2])
|
|
cnx_energy_db.commit()
|
|
|
|
except Exception as e:
|
|
error_string = "Error in step 20 of space_energy_input_item.worker " + str(e)
|
|
print(error_string)
|
|
return error_string
|
|
finally:
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|
|
else:
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.close()
|