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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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View Code Duplication |
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_output_category.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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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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space_list = list() |
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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_output_category.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 combined equipments associated with the space |
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# Step 2: get all equipments associated with the space |
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# Step 3: get all child spaces associated with the space |
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# Step 4: determine start datetime and end datetime to aggregate |
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# Step 5: for each combined equipment in list, get energy output data from energy database |
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# Step 6: for each equipment in list, get energy output data from energy database |
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# Step 7: for each child space in list, get energy output data from energy database |
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# Step 8: determine common time slot to aggregate |
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# Step 9: aggregate energy data in the common time slot by energy categories and hourly |
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# Step 10: 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 combined equipments associated with the space |
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#################################################################################################################### |
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print("Step 1: get all combined equipments associated with the space") |
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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_output_category.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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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_output_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 1.2 of space_energy_output_category.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 equipments associated with the space |
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#################################################################################################################### |
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print("Step 2: 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_output_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 2.2 of space_energy_output_category.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 child spaces associated with the space |
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#################################################################################################################### |
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print("Step 3: 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_output_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 3 of space_energy_output_category.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 ((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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(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 4: determine start datetime and end datetime to aggregate |
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#################################################################################################################### |
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print("Step 4: 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 4.1 of space_energy_output_category.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_output_category_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 4.2 of space_energy_output_category.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 5: for each combined equipment in list, get energy output data from energy database |
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#################################################################################################################### |
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energy_combined_equipment_hourly = dict() |
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if combined_equipment_list is not None and len(combined_equipment_list) > 0: |
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try: |
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for combined_equipment in combined_equipment_list: |
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combined_equipment_id = str(combined_equipment['id']) |
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query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
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" FROM tbl_combined_equipment_output_category_hourly " |
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" WHERE combined_equipment_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 ") |
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cursor_energy_db.execute(query, (combined_equipment_id, start_datetime_utc, end_datetime_utc,)) |
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rows_energy_values = cursor_energy_db.fetchall() |
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if rows_energy_values is None or len(rows_energy_values) == 0: |
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energy_combined_equipment_hourly[combined_equipment_id] = None |
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else: |
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energy_combined_equipment_hourly[combined_equipment_id] = dict() |
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283
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for row_value in rows_energy_values: |
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284
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current_datetime_utc = row_value[0] |
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285
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if current_datetime_utc not in energy_combined_equipment_hourly[combined_equipment_id]: |
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286
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energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc] = dict() |
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287
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energy_category_id = row_value[1] |
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288
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actual_value = row_value[2] |
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289
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energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc][energy_category_id] = \ |
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290
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actual_value |
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except Exception as e: |
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292
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error_string = "Error in step 5 of space_energy_output_category.worker " + str(e) |
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293
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if cursor_energy_db: |
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294
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cursor_energy_db.close() |
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295
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if cnx_energy_db: |
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296
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cnx_energy_db.close() |
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297
|
|
|
print(error_string) |
|
298
|
|
|
return error_string |
|
299
|
|
|
|
|
300
|
|
|
#################################################################################################################### |
|
301
|
|
|
# Step 6: for each equipment in list, get energy output data from energy database |
|
302
|
|
|
#################################################################################################################### |
|
303
|
|
|
energy_equipment_hourly = dict() |
|
304
|
|
|
if equipment_list is not None and len(equipment_list) > 0: |
|
305
|
|
|
try: |
|
306
|
|
|
for equipment in equipment_list: |
|
307
|
|
|
equipment_id = str(equipment['id']) |
|
308
|
|
|
query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
|
309
|
|
|
" FROM tbl_equipment_output_category_hourly " |
|
310
|
|
|
" WHERE equipment_id = %s " |
|
311
|
|
|
" AND start_datetime_utc >= %s " |
|
312
|
|
|
" AND start_datetime_utc < %s " |
|
313
|
|
|
" ORDER BY start_datetime_utc ") |
|
314
|
|
|
cursor_energy_db.execute(query, (equipment_id, start_datetime_utc, end_datetime_utc,)) |
|
315
|
|
|
rows_energy_values = cursor_energy_db.fetchall() |
|
316
|
|
|
if rows_energy_values is None or len(rows_energy_values) == 0: |
|
317
|
|
|
energy_equipment_hourly[equipment_id] = None |
|
318
|
|
|
else: |
|
319
|
|
|
energy_equipment_hourly[equipment_id] = dict() |
|
320
|
|
|
for row_value in rows_energy_values: |
|
321
|
|
|
current_datetime_utc = row_value[0] |
|
322
|
|
|
if current_datetime_utc not in energy_equipment_hourly[equipment_id]: |
|
323
|
|
|
energy_equipment_hourly[equipment_id][current_datetime_utc] = dict() |
|
324
|
|
|
energy_category_id = row_value[1] |
|
325
|
|
|
actual_value = row_value[2] |
|
326
|
|
|
energy_equipment_hourly[equipment_id][current_datetime_utc][energy_category_id] = \ |
|
327
|
|
|
actual_value |
|
328
|
|
|
except Exception as e: |
|
329
|
|
|
error_string = "Error in step 6 of space_energy_output_category.worker " + str(e) |
|
330
|
|
|
if cursor_energy_db: |
|
331
|
|
|
cursor_energy_db.close() |
|
332
|
|
|
if cnx_energy_db: |
|
333
|
|
|
cnx_energy_db.close() |
|
334
|
|
|
print(error_string) |
|
335
|
|
|
return error_string |
|
336
|
|
|
|
|
337
|
|
|
#################################################################################################################### |
|
338
|
|
|
# Step 7: for each child space in list, get energy output data from energy database |
|
339
|
|
|
#################################################################################################################### |
|
340
|
|
|
energy_child_space_hourly = dict() |
|
341
|
|
|
if child_space_list is not None and len(child_space_list) > 0: |
|
342
|
|
|
try: |
|
343
|
|
|
for child_space in child_space_list: |
|
344
|
|
|
child_space_id = str(child_space['id']) |
|
345
|
|
|
|
|
346
|
|
|
query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
|
347
|
|
|
" FROM tbl_space_output_category_hourly " |
|
348
|
|
|
" WHERE space_id = %s " |
|
349
|
|
|
" AND start_datetime_utc >= %s " |
|
350
|
|
|
" AND start_datetime_utc < %s " |
|
351
|
|
|
" ORDER BY start_datetime_utc ") |
|
352
|
|
|
cursor_energy_db.execute(query, (child_space_id, start_datetime_utc, end_datetime_utc,)) |
|
353
|
|
|
rows_energy_values = cursor_energy_db.fetchall() |
|
354
|
|
|
if rows_energy_values is None or len(rows_energy_values) == 0: |
|
355
|
|
|
energy_child_space_hourly[child_space_id] = None |
|
356
|
|
|
else: |
|
357
|
|
|
energy_child_space_hourly[child_space_id] = dict() |
|
358
|
|
|
for row_energy_value in rows_energy_values: |
|
359
|
|
|
current_datetime_utc = row_energy_value[0] |
|
360
|
|
|
if current_datetime_utc not in energy_child_space_hourly[child_space_id]: |
|
361
|
|
|
energy_child_space_hourly[child_space_id][current_datetime_utc] = dict() |
|
362
|
|
|
energy_category_id = row_energy_value[1] |
|
363
|
|
|
actual_value = row_energy_value[2] |
|
364
|
|
|
energy_child_space_hourly[child_space_id][current_datetime_utc][energy_category_id] = actual_value |
|
365
|
|
|
except Exception as e: |
|
366
|
|
|
error_string = "Error in step 7 of space_energy_output_category.worker " + str(e) |
|
367
|
|
|
if cursor_energy_db: |
|
368
|
|
|
cursor_energy_db.close() |
|
369
|
|
|
if cnx_energy_db: |
|
370
|
|
|
cnx_energy_db.close() |
|
371
|
|
|
print(error_string) |
|
372
|
|
|
return error_string |
|
373
|
|
|
|
|
374
|
|
|
#################################################################################################################### |
|
375
|
|
|
# Step 8: determine common time slot to aggregate |
|
376
|
|
|
#################################################################################################################### |
|
377
|
|
|
|
|
378
|
|
|
common_start_datetime_utc = start_datetime_utc |
|
379
|
|
|
common_end_datetime_utc = end_datetime_utc |
|
380
|
|
|
|
|
381
|
|
|
print("Getting common time slot of energy values for all combined equipments") |
|
382
|
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
|
383
|
|
|
if energy_combined_equipment_hourly is not None and len(energy_combined_equipment_hourly) > 0: |
|
384
|
|
|
for combined_equipment_id, energy_hourly in energy_combined_equipment_hourly.items(): |
|
385
|
|
|
if energy_hourly is None or len(energy_hourly) == 0: |
|
386
|
|
|
common_start_datetime_utc = None |
|
387
|
|
|
common_end_datetime_utc = None |
|
388
|
|
|
break |
|
389
|
|
|
else: |
|
390
|
|
|
if common_start_datetime_utc < min(energy_hourly.keys()): |
|
391
|
|
|
common_start_datetime_utc = min(energy_hourly.keys()) |
|
392
|
|
|
if common_end_datetime_utc > max(energy_hourly.keys()): |
|
393
|
|
|
common_end_datetime_utc = max(energy_hourly.keys()) |
|
394
|
|
|
|
|
395
|
|
|
print("Getting common time slot of energy values for all equipments...") |
|
396
|
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
|
397
|
|
|
if energy_equipment_hourly is not None and len(energy_equipment_hourly) > 0: |
|
398
|
|
|
for equipment_id, energy_hourly in energy_equipment_hourly.items(): |
|
399
|
|
|
if energy_hourly is None or len(energy_hourly) == 0: |
|
400
|
|
|
common_start_datetime_utc = None |
|
401
|
|
|
common_end_datetime_utc = None |
|
402
|
|
|
break |
|
403
|
|
|
else: |
|
404
|
|
|
if common_start_datetime_utc < min(energy_hourly.keys()): |
|
405
|
|
|
common_start_datetime_utc = min(energy_hourly.keys()) |
|
406
|
|
|
if common_end_datetime_utc > max(energy_hourly.keys()): |
|
407
|
|
|
common_end_datetime_utc = max(energy_hourly.keys()) |
|
408
|
|
|
|
|
409
|
|
|
print("Getting common time slot of energy values for all child spaces...") |
|
410
|
|
|
if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
|
411
|
|
|
if energy_child_space_hourly is not None and len(energy_child_space_hourly) > 0: |
|
412
|
|
|
for child_space_id, energy_hourly in energy_child_space_hourly.items(): |
|
413
|
|
|
if energy_hourly is None or len(energy_hourly) == 0: |
|
414
|
|
|
common_start_datetime_utc = None |
|
415
|
|
|
common_end_datetime_utc = None |
|
416
|
|
|
break |
|
417
|
|
|
else: |
|
418
|
|
|
if common_start_datetime_utc < min(energy_hourly.keys()): |
|
419
|
|
|
common_start_datetime_utc = min(energy_hourly.keys()) |
|
420
|
|
|
if common_end_datetime_utc > max(energy_hourly.keys()): |
|
421
|
|
|
common_end_datetime_utc = max(energy_hourly.keys()) |
|
422
|
|
|
|
|
423
|
|
|
if (energy_combined_equipment_hourly is None or len(energy_combined_equipment_hourly) == 0) and \ |
|
424
|
|
|
(energy_equipment_hourly is None or len(energy_equipment_hourly) == 0) and \ |
|
425
|
|
|
(energy_child_space_hourly is None or len(energy_child_space_hourly) == 0): |
|
426
|
|
|
# There isn't any energy data |
|
427
|
|
|
print("There isn't any energy data") |
|
428
|
|
|
# continue the for space loop to the next space |
|
429
|
|
|
print("continue the for space loop to the next space") |
|
430
|
|
|
if cursor_energy_db: |
|
431
|
|
|
cursor_energy_db.close() |
|
432
|
|
|
if cnx_energy_db: |
|
433
|
|
|
cnx_energy_db.close() |
|
434
|
|
|
return None |
|
435
|
|
|
|
|
436
|
|
|
print("common_start_datetime_utc: " + str(common_start_datetime_utc)) |
|
437
|
|
|
print("common_end_datetime_utc: " + str(common_end_datetime_utc)) |
|
438
|
|
|
|
|
439
|
|
|
#################################################################################################################### |
|
440
|
|
|
# Step 9: aggregate energy data in the common time slot by energy categories and hourly |
|
441
|
|
|
#################################################################################################################### |
|
442
|
|
|
|
|
443
|
|
|
print("Step 9: aggregate energy data in the common time slot by energy categories and hourly") |
|
444
|
|
|
aggregated_values = list() |
|
445
|
|
|
try: |
|
446
|
|
|
current_datetime_utc = common_start_datetime_utc |
|
447
|
|
|
while common_start_datetime_utc is not None \ |
|
448
|
|
|
and common_end_datetime_utc is not None \ |
|
449
|
|
|
and current_datetime_utc <= common_end_datetime_utc: |
|
450
|
|
|
aggregated_value = dict() |
|
451
|
|
|
aggregated_value['start_datetime_utc'] = current_datetime_utc |
|
452
|
|
|
aggregated_value['meta_data'] = dict() |
|
453
|
|
|
|
|
454
|
|
|
if combined_equipment_list is not None and len(combined_equipment_list) > 0: |
|
455
|
|
|
for combined_equipment in combined_equipment_list: |
|
456
|
|
|
combined_equipment_id = str(combined_equipment['id']) |
|
457
|
|
|
meta_data_dict = \ |
|
458
|
|
|
energy_combined_equipment_hourly[combined_equipment_id].get(current_datetime_utc, None) |
|
459
|
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0: |
|
460
|
|
|
for energy_category_id, actual_value in meta_data_dict.items(): |
|
461
|
|
|
aggregated_value['meta_data'][energy_category_id] = \ |
|
462
|
|
|
aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
|
463
|
|
|
|
|
464
|
|
|
if equipment_list is not None and len(equipment_list) > 0: |
|
465
|
|
|
for equipment in equipment_list: |
|
466
|
|
|
equipment_id = str(equipment['id']) |
|
467
|
|
|
meta_data_dict = energy_equipment_hourly[equipment_id].get(current_datetime_utc, None) |
|
468
|
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0: |
|
469
|
|
|
for energy_category_id, actual_value in meta_data_dict.items(): |
|
470
|
|
|
aggregated_value['meta_data'][energy_category_id] = \ |
|
471
|
|
|
aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
|
472
|
|
|
|
|
473
|
|
|
if child_space_list is not None and len(child_space_list) > 0: |
|
474
|
|
|
for child_space in child_space_list: |
|
475
|
|
|
child_space_id = str(child_space['id']) |
|
476
|
|
|
meta_data_dict = energy_child_space_hourly[child_space_id].get(current_datetime_utc, None) |
|
477
|
|
|
if meta_data_dict is not None and len(meta_data_dict) > 0: |
|
478
|
|
|
for energy_category_id, actual_value in meta_data_dict.items(): |
|
479
|
|
|
aggregated_value['meta_data'][energy_category_id] = \ |
|
480
|
|
|
aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
|
481
|
|
|
|
|
482
|
|
|
aggregated_values.append(aggregated_value) |
|
483
|
|
|
|
|
484
|
|
|
current_datetime_utc += timedelta(minutes=config.minutes_to_count) |
|
485
|
|
|
|
|
486
|
|
|
except Exception as e: |
|
487
|
|
|
error_string = "Error in step 9 of space_energy_output_category.worker " + str(e) |
|
488
|
|
|
if cursor_energy_db: |
|
489
|
|
|
cursor_energy_db.close() |
|
490
|
|
|
if cnx_energy_db: |
|
491
|
|
|
cnx_energy_db.close() |
|
492
|
|
|
print(error_string) |
|
493
|
|
|
return error_string |
|
494
|
|
|
|
|
495
|
|
|
#################################################################################################################### |
|
496
|
|
|
# Step 10: save energy data to energy database |
|
497
|
|
|
#################################################################################################################### |
|
498
|
|
|
print("Step 10: save energy data to energy database") |
|
499
|
|
|
|
|
500
|
|
|
if len(aggregated_values) > 0: |
|
501
|
|
|
try: |
|
502
|
|
|
add_values = (" INSERT INTO tbl_space_output_category_hourly " |
|
503
|
|
|
" (space_id, " |
|
504
|
|
|
" energy_category_id, " |
|
505
|
|
|
" start_datetime_utc, " |
|
506
|
|
|
" actual_value) " |
|
507
|
|
|
" VALUES ") |
|
508
|
|
|
|
|
509
|
|
|
for aggregated_value in aggregated_values: |
|
510
|
|
|
for energy_category_id, actual_value in aggregated_value['meta_data'].items(): |
|
511
|
|
|
add_values += " (" + str(space['id']) + "," |
|
512
|
|
|
add_values += " " + str(energy_category_id) + "," |
|
513
|
|
|
add_values += "'" + aggregated_value['start_datetime_utc'].isoformat()[0:19] + "'," |
|
514
|
|
|
add_values += str(actual_value) + "), " |
|
515
|
|
|
print("add_values:" + add_values) |
|
516
|
|
|
# trim ", " at the end of string and then execute |
|
517
|
|
|
cursor_energy_db.execute(add_values[:-2]) |
|
518
|
|
|
cnx_energy_db.commit() |
|
519
|
|
|
|
|
520
|
|
|
except Exception as e: |
|
521
|
|
|
error_string = "Error in step 8 of space_energy_output_category.worker " + str(e) |
|
522
|
|
|
print(error_string) |
|
523
|
|
|
return error_string |
|
524
|
|
|
finally: |
|
525
|
|
|
if cursor_energy_db: |
|
526
|
|
|
cursor_energy_db.close() |
|
527
|
|
|
if cnx_energy_db: |
|
528
|
|
|
cnx_energy_db.close() |
|
529
|
|
|
else: |
|
530
|
|
|
if cursor_energy_db: |
|
531
|
|
|
cursor_energy_db.close() |
|
532
|
|
|
if cnx_energy_db: |
|
533
|
|
|
cnx_energy_db.close() |
|
534
|
|
|
|
myems /
myems-aggregation
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