myems /
myems-aggregation
| Total Complexity | 344 |
| Total Lines | 1082 |
| Duplicated Lines | 95.56 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like space_energy_input_category often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import time |
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| 2 | from datetime import datetime, timedelta |
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| 3 | from decimal import Decimal |
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| 4 | import mysql.connector |
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| 5 | from multiprocessing import Pool |
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| 6 | import random |
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| 7 | import config |
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| 8 | |||
| 9 | |||
| 10 | ######################################################################################################################## |
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| 11 | # PROCEDURES |
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| 12 | # Step 1: get all spaces |
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| 13 | # Step 2: Create multiprocessing pool to call worker in parallel |
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| 14 | ######################################################################################################################## |
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| 15 | |||
| 16 | |||
| 17 | View Code Duplication | def main(logger): |
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Duplication
introduced
by
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| 18 | |||
| 19 | while True: |
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| 20 | # the outermost while loop |
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| 21 | ################################################################################################################ |
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| 22 | # Step 1: get all spaces |
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| 23 | ################################################################################################################ |
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| 24 | cnx_system_db = None |
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| 25 | cursor_system_db = None |
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| 26 | try: |
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| 27 | cnx_system_db = mysql.connector.connect(**config.myems_system_db) |
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| 28 | cursor_system_db = cnx_system_db.cursor() |
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| 29 | except Exception as e: |
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| 30 | logger.error("Error in step 1.1 of space_energy_input_category.main " + str(e)) |
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| 31 | if cursor_system_db: |
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| 32 | cursor_system_db.close() |
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| 33 | if cnx_system_db: |
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| 34 | cnx_system_db.close() |
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| 35 | # sleep and continue the outer loop to reconnect the database |
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| 36 | time.sleep(60) |
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| 37 | continue |
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| 38 | print("Connected to MyEMS System Database") |
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| 39 | |||
| 40 | try: |
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| 41 | cursor_system_db.execute(" SELECT id, name " |
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| 42 | " FROM tbl_spaces " |
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| 43 | " ORDER BY id ") |
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| 44 | rows_spaces = cursor_system_db.fetchall() |
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| 45 | |||
| 46 | if rows_spaces is None or len(rows_spaces) == 0: |
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| 47 | print("There isn't any spaces ") |
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| 48 | # sleep and continue the outer loop to reconnect the database |
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| 49 | time.sleep(60) |
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| 50 | continue |
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| 51 | |||
| 52 | space_list = list() |
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| 53 | for row in rows_spaces: |
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| 54 | space_list.append({"id": row[0], "name": row[1]}) |
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| 55 | |||
| 56 | except Exception as e: |
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| 57 | logger.error("Error in step 1.2 of space_energy_input_category.main " + str(e)) |
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| 58 | # sleep and continue the outer loop to reconnect the database |
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| 59 | time.sleep(60) |
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| 60 | continue |
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| 61 | finally: |
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| 62 | if cursor_system_db: |
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| 63 | cursor_system_db.close() |
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| 64 | if cnx_system_db: |
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| 65 | cnx_system_db.close() |
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| 66 | |||
| 67 | print("Got all spaces in MyEMS System Database") |
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| 68 | |||
| 69 | # shuffle the space list for randomly calculating the meter hourly value |
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| 70 | random.shuffle(space_list) |
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| 71 | |||
| 72 | ################################################################################################################ |
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| 73 | # Step 2: Create multiprocessing pool to call worker in parallel |
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| 74 | ################################################################################################################ |
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| 75 | p = Pool(processes=config.pool_size) |
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| 76 | error_list = p.map(worker, space_list) |
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| 77 | p.close() |
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| 78 | p.join() |
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| 79 | |||
| 80 | for error in error_list: |
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| 81 | if error is not None and len(error) > 0: |
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| 82 | logger.error(error) |
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| 83 | |||
| 84 | print("go to sleep 300 seconds...") |
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| 85 | time.sleep(300) |
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| 86 | print("wake from sleep, and continue to work...") |
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| 87 | # end of outer while |
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| 88 | |||
| 89 | |||
| 90 | ######################################################################################################################## |
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| 91 | # PROCEDURES: |
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| 92 | # Step 1: get all input meters associated with the space |
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| 93 | # Step 2: get all input virtual meters associated with the space |
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| 94 | # Step 3: get all input offline meters associated with the space |
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| 95 | # Step 4: get all combined equipments associated with the space |
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| 96 | # Step 5: get all equipments associated with the space |
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| 97 | # Step 6: get all shopfloors associated with the space |
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| 98 | # Step 7: get all stores associated with the space |
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| 99 | # Step 8: get all tenants associated with the space |
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| 100 | # Step 9: get all child spaces associated with the space |
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| 101 | # Step 10: determine start datetime and end datetime to aggregate |
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| 102 | # Step 11: for each meter in list, get energy input data from energy database |
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| 103 | # Step 12: for each virtual meter in list, get energy input data from energy database |
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| 104 | # Step 13: for each offline meter in list, get energy input data from energy database |
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| 105 | # Step 14: for each combined equipment in list, get energy input data from energy database |
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| 106 | # Step 15: for each equipment in list, get energy input data from energy database |
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| 107 | # Step 16: for each shopfloor in list, get energy input data from energy database |
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| 108 | # Step 17: for each store in list, get energy input data from energy database |
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| 109 | # Step 18: for each tenant in list, get energy input data from energy database |
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| 110 | # Step 19: for each child space in list, get energy input data from energy database |
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| 111 | # Step 20: determine common time slot to aggregate |
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| 112 | # Step 21: aggregate energy data in the common time slot by energy categories and hourly |
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| 113 | # Step 22: save energy data to energy database |
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| 114 | # |
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| 115 | # NOTE: returns None or the error string because that the logger object cannot be passed in as parameter |
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| 116 | ######################################################################################################################## |
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| 117 | |||
| 118 | View Code Duplication | def worker(space): |
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| 119 | #################################################################################################################### |
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| 120 | # Step 1: get all input meters associated with the space |
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| 121 | #################################################################################################################### |
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| 122 | print("Step 1: get all input meters associated with the space " + str(space['name'])) |
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| 123 | |||
| 124 | cnx_system_db = None |
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| 125 | cursor_system_db = None |
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| 126 | try: |
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| 127 | cnx_system_db = mysql.connector.connect(**config.myems_system_db) |
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| 128 | cursor_system_db = cnx_system_db.cursor() |
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| 129 | except Exception as e: |
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| 130 | error_string = "Error in step 1.1 of space_energy_input_category.worker " + str(e) |
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| 131 | if cursor_system_db: |
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| 132 | cursor_system_db.close() |
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| 133 | if cnx_system_db: |
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| 134 | cnx_system_db.close() |
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| 135 | print(error_string) |
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| 136 | return error_string |
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| 137 | |||
| 138 | meter_list = list() |
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| 139 | try: |
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| 140 | cursor_system_db.execute(" SELECT m.id, m.name, m.energy_category_id " |
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| 141 | " FROM tbl_meters m, tbl_spaces_meters sm " |
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| 142 | " WHERE m.id = sm.meter_id " |
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| 143 | " AND m.is_counted = true " |
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| 144 | " AND sm.space_id = %s ", |
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| 145 | (space['id'],)) |
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| 146 | rows_meters = cursor_system_db.fetchall() |
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| 147 | |||
| 148 | if rows_meters is not None and len(rows_meters) > 0: |
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| 149 | for row in rows_meters: |
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| 150 | meter_list.append({"id": row[0], |
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| 151 | "name": row[1], |
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| 152 | "energy_category_id": row[2]}) |
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| 153 | |||
| 154 | except Exception as e: |
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| 155 | error_string = "Error in step 1.2 of space_energy_input_category.worker " + str(e) |
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| 156 | if cursor_system_db: |
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| 157 | cursor_system_db.close() |
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| 158 | if cnx_system_db: |
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| 159 | cnx_system_db.close() |
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| 160 | print(error_string) |
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| 161 | return error_string |
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| 162 | |||
| 163 | #################################################################################################################### |
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| 164 | # Step 2: get all input virtual meters associated with the space |
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| 165 | #################################################################################################################### |
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| 166 | print("Step 2: get all input virtual meters associated with the space") |
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| 167 | virtual_meter_list = list() |
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| 168 | |||
| 169 | try: |
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| 170 | cursor_system_db.execute(" SELECT m.id, m.name, m.energy_category_id " |
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| 171 | " FROM tbl_virtual_meters m, tbl_spaces_virtual_meters sm " |
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| 172 | " WHERE m.id = sm.virtual_meter_id " |
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| 173 | " AND m.is_counted = true " |
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| 174 | " AND sm.space_id = %s ", |
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| 175 | (space['id'],)) |
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| 176 | rows_virtual_meters = cursor_system_db.fetchall() |
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| 177 | |||
| 178 | if rows_virtual_meters is not None and len(rows_virtual_meters) > 0: |
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| 179 | for row in rows_virtual_meters: |
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| 180 | virtual_meter_list.append({"id": row[0], |
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| 181 | "name": row[1], |
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| 182 | "energy_category_id": row[2]}) |
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| 183 | |||
| 184 | except Exception as e: |
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| 185 | error_string = "Error in step 2 of space_energy_input_category.worker " + str(e) |
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| 186 | if cursor_system_db: |
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| 187 | cursor_system_db.close() |
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| 188 | if cnx_system_db: |
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| 189 | cnx_system_db.close() |
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| 190 | print(error_string) |
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| 191 | return error_string |
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| 192 | |||
| 193 | #################################################################################################################### |
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| 194 | # Step 3: get all input offline meters associated with the space |
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| 195 | #################################################################################################################### |
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| 196 | print("Step 3: get all input offline meters associated with the space") |
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| 197 | |||
| 198 | offline_meter_list = list() |
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| 199 | |||
| 200 | try: |
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| 201 | cursor_system_db.execute(" SELECT m.id, m.name, m.energy_category_id " |
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| 202 | " FROM tbl_offline_meters m, tbl_spaces_offline_meters sm " |
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| 203 | " WHERE m.id = sm.offline_meter_id " |
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| 204 | " AND m.is_counted = true " |
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| 205 | " AND sm.space_id = %s ", |
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| 206 | (space['id'],)) |
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| 207 | rows_offline_meters = cursor_system_db.fetchall() |
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| 208 | |||
| 209 | if rows_offline_meters is not None and len(rows_offline_meters) > 0: |
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| 210 | for row in rows_offline_meters: |
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| 211 | offline_meter_list.append({"id": row[0], |
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| 212 | "name": row[1], |
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| 213 | "energy_category_id": row[2]}) |
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| 214 | |||
| 215 | except Exception as e: |
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| 216 | error_string = "Error in step 3 of space_energy_input_category.worker " + str(e) |
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| 217 | if cursor_system_db: |
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| 218 | cursor_system_db.close() |
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| 219 | if cnx_system_db: |
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| 220 | cnx_system_db.close() |
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| 221 | print(error_string) |
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| 222 | return error_string |
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| 223 | |||
| 224 | #################################################################################################################### |
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| 225 | # Step 4: get all combined equipments associated with the space |
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| 226 | #################################################################################################################### |
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| 227 | print("Step 4: get all combined equipments associated with the space") |
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| 228 | |||
| 229 | combined_equipment_list = list() |
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| 230 | |||
| 231 | try: |
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| 232 | cursor_system_db.execute(" SELECT e.id, e.name " |
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| 233 | " FROM tbl_combined_equipments e, tbl_spaces_combined_equipments se " |
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| 234 | " WHERE e.id = se.combined_equipment_id " |
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| 235 | " AND e.is_input_counted = true " |
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| 236 | " AND se.space_id = %s ", |
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| 237 | (space['id'],)) |
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| 238 | rows_combined_equipments = cursor_system_db.fetchall() |
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| 239 | |||
| 240 | if rows_combined_equipments is not None and len(rows_combined_equipments) > 0: |
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| 241 | for row in rows_combined_equipments: |
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| 242 | combined_equipment_list.append({"id": row[0], |
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| 243 | "name": row[1]}) |
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| 244 | |||
| 245 | except Exception as e: |
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| 246 | error_string = "Error in step 4 of space_energy_input_category.worker " + str(e) |
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| 247 | if cursor_system_db: |
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| 248 | cursor_system_db.close() |
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| 249 | if cnx_system_db: |
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| 250 | cnx_system_db.close() |
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| 251 | print(error_string) |
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| 252 | return error_string |
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| 253 | |||
| 254 | #################################################################################################################### |
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| 255 | # Step 5: get all equipments associated with the space |
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| 256 | #################################################################################################################### |
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| 257 | print("Step 5: get all equipments associated with the space") |
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| 258 | |||
| 259 | equipment_list = list() |
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| 260 | |||
| 261 | try: |
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| 262 | cursor_system_db.execute(" SELECT e.id, e.name " |
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| 263 | " FROM tbl_equipments e, tbl_spaces_equipments se " |
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| 264 | " WHERE e.id = se.equipment_id " |
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| 265 | " AND e.is_input_counted = true " |
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| 266 | " AND se.space_id = %s ", |
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| 267 | (space['id'],)) |
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| 268 | rows_equipments = cursor_system_db.fetchall() |
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| 269 | |||
| 270 | if rows_equipments is not None and len(rows_equipments) > 0: |
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| 271 | for row in rows_equipments: |
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| 272 | equipment_list.append({"id": row[0], |
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| 273 | "name": row[1]}) |
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| 274 | |||
| 275 | except Exception as e: |
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| 276 | error_string = "Error in step 5 of space_energy_input_category.worker " + str(e) |
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| 277 | if cursor_system_db: |
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| 278 | cursor_system_db.close() |
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| 279 | if cnx_system_db: |
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| 280 | cnx_system_db.close() |
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| 281 | print(error_string) |
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| 282 | return error_string |
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| 283 | |||
| 284 | #################################################################################################################### |
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| 285 | # Step 6: get all shopfloors associated with the space |
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| 286 | #################################################################################################################### |
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| 287 | print("Step 6: get all shopfloors associated with the space") |
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| 288 | |||
| 289 | shopfloor_list = list() |
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| 290 | |||
| 291 | try: |
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| 292 | cursor_system_db.execute(" SELECT s.id, s.name " |
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| 293 | " FROM tbl_shopfloors s, tbl_spaces_shopfloors ss " |
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| 294 | " WHERE s.id = ss.shopfloor_id " |
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| 295 | " AND s.is_input_counted = true " |
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| 296 | " AND ss.space_id = %s ", |
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| 297 | (space['id'],)) |
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| 298 | rows_shopfloors = cursor_system_db.fetchall() |
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| 299 | |||
| 300 | if rows_shopfloors is not None and len(rows_shopfloors) > 0: |
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| 301 | for row in rows_shopfloors: |
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| 302 | shopfloor_list.append({"id": row[0], |
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| 303 | "name": row[1]}) |
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| 304 | |||
| 305 | except Exception as e: |
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| 306 | error_string = "Error in step 6 of space_energy_input_category.worker " + str(e) |
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| 307 | if cursor_system_db: |
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| 308 | cursor_system_db.close() |
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| 309 | if cnx_system_db: |
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| 310 | cnx_system_db.close() |
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| 311 | print(error_string) |
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| 312 | return error_string |
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| 313 | |||
| 314 | #################################################################################################################### |
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| 315 | # Step 7: get all stores associated with the space |
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| 316 | #################################################################################################################### |
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| 317 | print("Step 7: get all stores associated with the space") |
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| 318 | |||
| 319 | store_list = list() |
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| 320 | |||
| 321 | try: |
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| 322 | cursor_system_db.execute(" SELECT s.id, s.name " |
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| 323 | " FROM tbl_stores s, tbl_spaces_stores ss " |
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| 324 | " WHERE s.id = ss.store_id " |
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| 325 | " AND s.is_input_counted = true " |
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| 326 | " AND ss.space_id = %s ", |
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| 327 | (space['id'],)) |
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| 328 | rows_stores = cursor_system_db.fetchall() |
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| 329 | |||
| 330 | if rows_stores is not None and len(rows_stores) > 0: |
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| 331 | for row in rows_stores: |
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| 332 | store_list.append({"id": row[0], |
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| 333 | "name": row[1]}) |
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| 334 | |||
| 335 | except Exception as e: |
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| 336 | error_string = "Error in step 7 of space_energy_input_category.worker " + str(e) |
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| 337 | if cursor_system_db: |
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| 338 | cursor_system_db.close() |
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| 339 | if cnx_system_db: |
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| 340 | cnx_system_db.close() |
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| 341 | print(error_string) |
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| 342 | return error_string |
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| 343 | |||
| 344 | #################################################################################################################### |
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| 345 | # Step 8: get all tenants associated with the space |
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| 346 | #################################################################################################################### |
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| 347 | print("Step 8: get all tenants associated with the space") |
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| 348 | |||
| 349 | tenant_list = list() |
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| 350 | |||
| 351 | try: |
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| 352 | cursor_system_db.execute(" SELECT t.id, t.name " |
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| 353 | " FROM tbl_tenants t, tbl_spaces_tenants st " |
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| 354 | " WHERE t.id = st.tenant_id " |
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| 355 | " AND t.is_input_counted = true " |
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| 356 | " AND st.space_id = %s ", |
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| 357 | (space['id'],)) |
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| 358 | rows_tenants = cursor_system_db.fetchall() |
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| 359 | |||
| 360 | if rows_tenants is not None and len(rows_tenants) > 0: |
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| 361 | for row in rows_tenants: |
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| 362 | tenant_list.append({"id": row[0], |
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| 363 | "name": row[1]}) |
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| 364 | |||
| 365 | except Exception as e: |
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| 366 | error_string = "Error in step 8 of space_energy_input_category.worker " + str(e) |
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| 367 | if cursor_system_db: |
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| 368 | cursor_system_db.close() |
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| 369 | if cnx_system_db: |
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| 370 | cnx_system_db.close() |
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| 371 | print(error_string) |
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| 372 | return error_string |
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| 373 | |||
| 374 | #################################################################################################################### |
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| 375 | # Step 9: get all child spaces associated with the space |
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| 376 | #################################################################################################################### |
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| 377 | print("Step 9: get all child spaces associated with the space") |
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| 378 | |||
| 379 | child_space_list = list() |
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| 380 | |||
| 381 | try: |
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| 382 | cursor_system_db.execute(" SELECT id, name " |
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| 383 | " FROM tbl_spaces " |
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| 384 | " WHERE is_input_counted = true " |
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| 385 | " AND parent_space_id = %s ", |
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| 386 | (space['id'],)) |
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| 387 | rows_child_spaces = cursor_system_db.fetchall() |
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| 388 | |||
| 389 | if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
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| 390 | for row in rows_child_spaces: |
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| 391 | child_space_list.append({"id": row[0], |
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| 392 | "name": row[1]}) |
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| 393 | |||
| 394 | except Exception as e: |
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| 395 | error_string = "Error in step 9 of space_energy_input_category.worker " + str(e) |
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| 396 | print(error_string) |
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| 397 | return error_string |
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| 398 | finally: |
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| 399 | if cursor_system_db: |
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| 400 | cursor_system_db.close() |
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| 401 | if cnx_system_db: |
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| 402 | cnx_system_db.close() |
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| 403 | |||
| 404 | if (meter_list is None or len(meter_list) == 0) and \ |
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| 405 | (virtual_meter_list is None or len(virtual_meter_list) == 0) and \ |
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| 406 | (offline_meter_list is None or len(offline_meter_list) == 0) and \ |
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| 407 | (combined_equipment_list is None or len(combined_equipment_list) == 0) and \ |
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| 408 | (equipment_list is None or len(equipment_list) == 0) and \ |
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| 409 | (shopfloor_list is None or len(shopfloor_list) == 0) and \ |
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| 410 | (store_list is None or len(store_list) == 0) and \ |
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| 411 | (tenant_list is None or len(tenant_list) == 0) and \ |
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| 412 | (child_space_list is None or len(child_space_list) == 0): |
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| 413 | print("This is an empty space ") |
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| 414 | return None |
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| 415 | |||
| 416 | #################################################################################################################### |
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| 417 | # Step 10: determine start datetime and end datetime to aggregate |
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| 418 | #################################################################################################################### |
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| 419 | print("Step 10: determine start datetime and end datetime to aggregate") |
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| 420 | cnx_energy_db = None |
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| 421 | cursor_energy_db = None |
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| 422 | try: |
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| 423 | cnx_energy_db = mysql.connector.connect(**config.myems_energy_db) |
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| 424 | cursor_energy_db = cnx_energy_db.cursor() |
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| 425 | except Exception as e: |
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| 426 | error_string = "Error in step 10.1 of space_energy_input_category.worker " + str(e) |
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| 427 | if cursor_energy_db: |
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| 428 | cursor_energy_db.close() |
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| 429 | if cnx_energy_db: |
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| 430 | cnx_energy_db.close() |
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| 431 | print(error_string) |
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| 432 | return error_string |
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| 433 | |||
| 434 | try: |
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| 435 | query = (" SELECT MAX(start_datetime_utc) " |
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| 436 | " FROM tbl_space_input_category_hourly " |
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| 437 | " WHERE space_id = %s ") |
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| 438 | cursor_energy_db.execute(query, (space['id'],)) |
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| 439 | row_datetime = cursor_energy_db.fetchone() |
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| 440 | start_datetime_utc = datetime.strptime(config.start_datetime_utc, '%Y-%m-%d %H:%M:%S') |
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| 441 | start_datetime_utc = start_datetime_utc.replace(minute=0, second=0, microsecond=0, tzinfo=None) |
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| 442 | |||
| 443 | if row_datetime is not None and len(row_datetime) > 0 and isinstance(row_datetime[0], datetime): |
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| 444 | # replace second and microsecond with 0 |
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| 445 | # note: do not replace minute in case of calculating in half hourly |
||
| 446 | start_datetime_utc = row_datetime[0].replace(second=0, microsecond=0, tzinfo=None) |
||
| 447 | # start from the next time slot |
||
| 448 | start_datetime_utc += timedelta(minutes=config.minutes_to_count) |
||
| 449 | |||
| 450 | end_datetime_utc = datetime.utcnow().replace(second=0, microsecond=0, tzinfo=None) |
||
| 451 | |||
| 452 | print("start_datetime_utc: " + start_datetime_utc.isoformat()[0:19] |
||
| 453 | + "end_datetime_utc: " + end_datetime_utc.isoformat()[0:19]) |
||
| 454 | |||
| 455 | except Exception as e: |
||
| 456 | error_string = "Error in step 10.2 of space_energy_input_category.worker " + str(e) |
||
| 457 | if cursor_energy_db: |
||
| 458 | cursor_energy_db.close() |
||
| 459 | if cnx_energy_db: |
||
| 460 | cnx_energy_db.close() |
||
| 461 | print(error_string) |
||
| 462 | return error_string |
||
| 463 | |||
| 464 | #################################################################################################################### |
||
| 465 | # Step 11: for each meter in list, get energy input data from energy database |
||
| 466 | #################################################################################################################### |
||
| 467 | energy_meter_hourly = dict() |
||
| 468 | try: |
||
| 469 | if meter_list is not None and len(meter_list) > 0: |
||
| 470 | for meter in meter_list: |
||
| 471 | meter_id = str(meter['id']) |
||
| 472 | |||
| 473 | query = (" SELECT start_datetime_utc, actual_value " |
||
| 474 | " FROM tbl_meter_hourly " |
||
| 475 | " WHERE meter_id = %s " |
||
| 476 | " AND start_datetime_utc >= %s " |
||
| 477 | " AND start_datetime_utc < %s " |
||
| 478 | " ORDER BY start_datetime_utc ") |
||
| 479 | cursor_energy_db.execute(query, (meter_id, start_datetime_utc, end_datetime_utc,)) |
||
| 480 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 481 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 482 | energy_meter_hourly[meter_id] = None |
||
| 483 | else: |
||
| 484 | energy_meter_hourly[meter_id] = dict() |
||
| 485 | for row_energy_value in rows_energy_values: |
||
| 486 | energy_meter_hourly[meter_id][row_energy_value[0]] = row_energy_value[1] |
||
| 487 | except Exception as e: |
||
| 488 | error_string = "Error in step 11 of space_energy_input_category.worker " + str(e) |
||
| 489 | if cursor_energy_db: |
||
| 490 | cursor_energy_db.close() |
||
| 491 | if cnx_energy_db: |
||
| 492 | cnx_energy_db.close() |
||
| 493 | print(error_string) |
||
| 494 | return error_string |
||
| 495 | |||
| 496 | #################################################################################################################### |
||
| 497 | # Step 12: for each virtual meter in list, get energy input data from energy database |
||
| 498 | #################################################################################################################### |
||
| 499 | energy_virtual_meter_hourly = dict() |
||
| 500 | if virtual_meter_list is not None and len(virtual_meter_list) > 0: |
||
| 501 | try: |
||
| 502 | for virtual_meter in virtual_meter_list: |
||
| 503 | virtual_meter_id = str(virtual_meter['id']) |
||
| 504 | |||
| 505 | query = (" SELECT start_datetime_utc, actual_value " |
||
| 506 | " FROM tbl_virtual_meter_hourly " |
||
| 507 | " WHERE virtual_meter_id = %s " |
||
| 508 | " AND start_datetime_utc >= %s " |
||
| 509 | " AND start_datetime_utc < %s " |
||
| 510 | " ORDER BY start_datetime_utc ") |
||
| 511 | cursor_energy_db.execute(query, (virtual_meter_id, start_datetime_utc, end_datetime_utc,)) |
||
| 512 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 513 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 514 | energy_virtual_meter_hourly[virtual_meter_id] = None |
||
| 515 | else: |
||
| 516 | energy_virtual_meter_hourly[virtual_meter_id] = dict() |
||
| 517 | for row_energy_value in rows_energy_values: |
||
| 518 | energy_virtual_meter_hourly[virtual_meter_id][row_energy_value[0]] = row_energy_value[1] |
||
| 519 | except Exception as e: |
||
| 520 | error_string = "Error in step 12 of space_energy_input_category.worker " + str(e) |
||
| 521 | if cursor_energy_db: |
||
| 522 | cursor_energy_db.close() |
||
| 523 | if cnx_energy_db: |
||
| 524 | cnx_energy_db.close() |
||
| 525 | print(error_string) |
||
| 526 | return error_string |
||
| 527 | |||
| 528 | #################################################################################################################### |
||
| 529 | # Step 13: for each offline meter in list, get energy input data from energy database |
||
| 530 | #################################################################################################################### |
||
| 531 | energy_offline_meter_hourly = dict() |
||
| 532 | if offline_meter_list is not None and len(offline_meter_list) > 0: |
||
| 533 | try: |
||
| 534 | for offline_meter in offline_meter_list: |
||
| 535 | offline_meter_id = str(offline_meter['id']) |
||
| 536 | |||
| 537 | query = (" SELECT start_datetime_utc, actual_value " |
||
| 538 | " FROM tbl_offline_meter_hourly " |
||
| 539 | " WHERE offline_meter_id = %s " |
||
| 540 | " AND start_datetime_utc >= %s " |
||
| 541 | " AND start_datetime_utc < %s " |
||
| 542 | " ORDER BY start_datetime_utc ") |
||
| 543 | cursor_energy_db.execute(query, (offline_meter_id, start_datetime_utc, end_datetime_utc,)) |
||
| 544 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 545 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 546 | energy_offline_meter_hourly[offline_meter_id] = None |
||
| 547 | else: |
||
| 548 | energy_offline_meter_hourly[offline_meter_id] = dict() |
||
| 549 | for row_energy_value in rows_energy_values: |
||
| 550 | energy_offline_meter_hourly[offline_meter_id][row_energy_value[0]] = row_energy_value[1] |
||
| 551 | |||
| 552 | except Exception as e: |
||
| 553 | error_string = "Error in step 13 of space_energy_input_category.worker " + str(e) |
||
| 554 | if cursor_energy_db: |
||
| 555 | cursor_energy_db.close() |
||
| 556 | if cnx_energy_db: |
||
| 557 | cnx_energy_db.close() |
||
| 558 | print(error_string) |
||
| 559 | return error_string |
||
| 560 | |||
| 561 | #################################################################################################################### |
||
| 562 | # Step 14: for each combined equipment in list, get energy input data from energy database |
||
| 563 | #################################################################################################################### |
||
| 564 | energy_combined_equipment_hourly = dict() |
||
| 565 | if combined_equipment_list is not None and len(combined_equipment_list) > 0: |
||
| 566 | try: |
||
| 567 | for combined_equipment in combined_equipment_list: |
||
| 568 | combined_equipment_id = str(combined_equipment['id']) |
||
| 569 | query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
||
| 570 | " FROM tbl_combined_equipment_input_category_hourly " |
||
| 571 | " WHERE combined_equipment_id = %s " |
||
| 572 | " AND start_datetime_utc >= %s " |
||
| 573 | " AND start_datetime_utc < %s " |
||
| 574 | " ORDER BY start_datetime_utc ") |
||
| 575 | cursor_energy_db.execute(query, (combined_equipment_id, start_datetime_utc, end_datetime_utc,)) |
||
| 576 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 577 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 578 | energy_combined_equipment_hourly[combined_equipment_id] = None |
||
| 579 | else: |
||
| 580 | energy_combined_equipment_hourly[combined_equipment_id] = dict() |
||
| 581 | for row_value in rows_energy_values: |
||
| 582 | current_datetime_utc = row_value[0] |
||
| 583 | if current_datetime_utc not in energy_combined_equipment_hourly[combined_equipment_id]: |
||
| 584 | energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc] = dict() |
||
| 585 | energy_category_id = row_value[1] |
||
| 586 | actual_value = row_value[2] |
||
| 587 | energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc][energy_category_id] = actual_value |
||
| 588 | except Exception as e: |
||
| 589 | error_string = "Error in step 14 of space_energy_input_category.worker " + str(e) |
||
| 590 | if cursor_energy_db: |
||
| 591 | cursor_energy_db.close() |
||
| 592 | if cnx_energy_db: |
||
| 593 | cnx_energy_db.close() |
||
| 594 | print(error_string) |
||
| 595 | return error_string |
||
| 596 | |||
| 597 | #################################################################################################################### |
||
| 598 | # Step 15: for each equipment in list, get energy input data from energy database |
||
| 599 | #################################################################################################################### |
||
| 600 | energy_equipment_hourly = dict() |
||
| 601 | if equipment_list is not None and len(equipment_list) > 0: |
||
| 602 | try: |
||
| 603 | for equipment in equipment_list: |
||
| 604 | equipment_id = str(equipment['id']) |
||
| 605 | query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
||
| 606 | " FROM tbl_equipment_input_category_hourly " |
||
| 607 | " WHERE equipment_id = %s " |
||
| 608 | " AND start_datetime_utc >= %s " |
||
| 609 | " AND start_datetime_utc < %s " |
||
| 610 | " ORDER BY start_datetime_utc ") |
||
| 611 | cursor_energy_db.execute(query, (equipment_id, start_datetime_utc, end_datetime_utc,)) |
||
| 612 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 613 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 614 | energy_equipment_hourly[equipment_id] = None |
||
| 615 | else: |
||
| 616 | energy_equipment_hourly[equipment_id] = dict() |
||
| 617 | for row_value in rows_energy_values: |
||
| 618 | current_datetime_utc = row_value[0] |
||
| 619 | if current_datetime_utc not in energy_equipment_hourly[equipment_id]: |
||
| 620 | energy_equipment_hourly[equipment_id][current_datetime_utc] = dict() |
||
| 621 | energy_category_id = row_value[1] |
||
| 622 | actual_value = row_value[2] |
||
| 623 | energy_equipment_hourly[equipment_id][current_datetime_utc][energy_category_id] = \ |
||
| 624 | actual_value |
||
| 625 | except Exception as e: |
||
| 626 | error_string = "Error in step 15 of space_energy_input_category.worker " + str(e) |
||
| 627 | if cursor_energy_db: |
||
| 628 | cursor_energy_db.close() |
||
| 629 | if cnx_energy_db: |
||
| 630 | cnx_energy_db.close() |
||
| 631 | print(error_string) |
||
| 632 | return error_string |
||
| 633 | |||
| 634 | #################################################################################################################### |
||
| 635 | # Step 16: for each shopfloor in list, get energy input data from energy database |
||
| 636 | #################################################################################################################### |
||
| 637 | energy_shopfloor_hourly = dict() |
||
| 638 | if shopfloor_list is not None and len(shopfloor_list) > 0: |
||
| 639 | try: |
||
| 640 | for shopfloor in shopfloor_list: |
||
| 641 | shopfloor_id = str(shopfloor['id']) |
||
| 642 | |||
| 643 | query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
||
| 644 | " FROM tbl_shopfloor_input_category_hourly " |
||
| 645 | " WHERE shopfloor_id = %s " |
||
| 646 | " AND start_datetime_utc >= %s " |
||
| 647 | " AND start_datetime_utc < %s " |
||
| 648 | " ORDER BY start_datetime_utc ") |
||
| 649 | cursor_energy_db.execute(query, (shopfloor_id, start_datetime_utc, end_datetime_utc,)) |
||
| 650 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 651 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 652 | energy_shopfloor_hourly[shopfloor_id] = None |
||
| 653 | else: |
||
| 654 | energy_shopfloor_hourly[shopfloor_id] = dict() |
||
| 655 | for row_energy_value in rows_energy_values: |
||
| 656 | current_datetime_utc = row_energy_value[0] |
||
| 657 | if current_datetime_utc not in energy_shopfloor_hourly[shopfloor_id]: |
||
| 658 | energy_shopfloor_hourly[shopfloor_id][current_datetime_utc] = dict() |
||
| 659 | energy_category_id = row_energy_value[1] |
||
| 660 | actual_value = row_energy_value[2] |
||
| 661 | energy_shopfloor_hourly[shopfloor_id][current_datetime_utc][energy_category_id] = actual_value |
||
| 662 | except Exception as e: |
||
| 663 | error_string = "Error in step 16 of space_energy_input_category.worker " + str(e) |
||
| 664 | if cursor_energy_db: |
||
| 665 | cursor_energy_db.close() |
||
| 666 | if cnx_energy_db: |
||
| 667 | cnx_energy_db.close() |
||
| 668 | print(error_string) |
||
| 669 | return error_string |
||
| 670 | |||
| 671 | #################################################################################################################### |
||
| 672 | # Step 17: for each store in list, get energy input data from energy database |
||
| 673 | #################################################################################################################### |
||
| 674 | energy_store_hourly = dict() |
||
| 675 | if store_list is not None and len(store_list) > 0: |
||
| 676 | try: |
||
| 677 | for store in store_list: |
||
| 678 | store_id = str(store['id']) |
||
| 679 | |||
| 680 | query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
||
| 681 | " FROM tbl_store_input_category_hourly " |
||
| 682 | " WHERE store_id = %s " |
||
| 683 | " AND start_datetime_utc >= %s " |
||
| 684 | " AND start_datetime_utc < %s " |
||
| 685 | " ORDER BY start_datetime_utc ") |
||
| 686 | cursor_energy_db.execute(query, (store_id, start_datetime_utc, end_datetime_utc,)) |
||
| 687 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 688 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 689 | energy_store_hourly[store_id] = None |
||
| 690 | else: |
||
| 691 | energy_store_hourly[store_id] = dict() |
||
| 692 | for row_energy_value in rows_energy_values: |
||
| 693 | current_datetime_utc = row_energy_value[0] |
||
| 694 | if current_datetime_utc not in energy_store_hourly[store_id]: |
||
| 695 | energy_store_hourly[store_id][current_datetime_utc] = dict() |
||
| 696 | energy_category_id = row_energy_value[1] |
||
| 697 | actual_value = row_energy_value[2] |
||
| 698 | energy_store_hourly[store_id][current_datetime_utc][energy_category_id] = actual_value |
||
| 699 | except Exception as e: |
||
| 700 | error_string = "Error in step 17 of space_energy_input_category.worker " + str(e) |
||
| 701 | if cursor_energy_db: |
||
| 702 | cursor_energy_db.close() |
||
| 703 | if cnx_energy_db: |
||
| 704 | cnx_energy_db.close() |
||
| 705 | print(error_string) |
||
| 706 | return error_string |
||
| 707 | |||
| 708 | #################################################################################################################### |
||
| 709 | # Step 18: for each tenant in list, get energy input data from energy database |
||
| 710 | #################################################################################################################### |
||
| 711 | energy_tenant_hourly = dict() |
||
| 712 | if tenant_list is not None and len(tenant_list) > 0: |
||
| 713 | try: |
||
| 714 | for tenant in tenant_list: |
||
| 715 | tenant_id = str(tenant['id']) |
||
| 716 | |||
| 717 | query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
||
| 718 | " FROM tbl_tenant_input_category_hourly " |
||
| 719 | " WHERE tenant_id = %s " |
||
| 720 | " AND start_datetime_utc >= %s " |
||
| 721 | " AND start_datetime_utc < %s " |
||
| 722 | " ORDER BY start_datetime_utc ") |
||
| 723 | cursor_energy_db.execute(query, (tenant_id, start_datetime_utc, end_datetime_utc,)) |
||
| 724 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 725 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 726 | energy_tenant_hourly[tenant_id] = None |
||
| 727 | else: |
||
| 728 | energy_tenant_hourly[tenant_id] = dict() |
||
| 729 | for row_energy_value in rows_energy_values: |
||
| 730 | current_datetime_utc = row_energy_value[0] |
||
| 731 | if current_datetime_utc not in energy_tenant_hourly[tenant_id]: |
||
| 732 | energy_tenant_hourly[tenant_id][current_datetime_utc] = dict() |
||
| 733 | energy_category_id = row_energy_value[1] |
||
| 734 | actual_value = row_energy_value[2] |
||
| 735 | energy_tenant_hourly[tenant_id][current_datetime_utc][energy_category_id] = actual_value |
||
| 736 | except Exception as e: |
||
| 737 | error_string = "Error in step 18 of space_energy_input_category.worker " + str(e) |
||
| 738 | if cursor_energy_db: |
||
| 739 | cursor_energy_db.close() |
||
| 740 | if cnx_energy_db: |
||
| 741 | cnx_energy_db.close() |
||
| 742 | print(error_string) |
||
| 743 | return error_string |
||
| 744 | |||
| 745 | #################################################################################################################### |
||
| 746 | # Step 19: for each child space in list, get energy input data from energy database |
||
| 747 | #################################################################################################################### |
||
| 748 | energy_child_space_hourly = dict() |
||
| 749 | if child_space_list is not None and len(child_space_list) > 0: |
||
| 750 | try: |
||
| 751 | for child_space in child_space_list: |
||
| 752 | child_space_id = str(child_space['id']) |
||
| 753 | |||
| 754 | query = (" SELECT start_datetime_utc, energy_category_id, actual_value " |
||
| 755 | " FROM tbl_space_input_category_hourly " |
||
| 756 | " WHERE space_id = %s " |
||
| 757 | " AND start_datetime_utc >= %s " |
||
| 758 | " AND start_datetime_utc < %s " |
||
| 759 | " ORDER BY start_datetime_utc ") |
||
| 760 | cursor_energy_db.execute(query, (child_space_id, start_datetime_utc, end_datetime_utc,)) |
||
| 761 | rows_energy_values = cursor_energy_db.fetchall() |
||
| 762 | if rows_energy_values is None or len(rows_energy_values) == 0: |
||
| 763 | energy_child_space_hourly[child_space_id] = None |
||
| 764 | else: |
||
| 765 | energy_child_space_hourly[child_space_id] = dict() |
||
| 766 | for row_energy_value in rows_energy_values: |
||
| 767 | current_datetime_utc = row_energy_value[0] |
||
| 768 | if current_datetime_utc not in energy_child_space_hourly[child_space_id]: |
||
| 769 | energy_child_space_hourly[child_space_id][current_datetime_utc] = dict() |
||
| 770 | energy_category_id = row_energy_value[1] |
||
| 771 | actual_value = row_energy_value[2] |
||
| 772 | energy_child_space_hourly[child_space_id][current_datetime_utc][energy_category_id] = actual_value |
||
| 773 | except Exception as e: |
||
| 774 | error_string = "Error in step 19 of space_energy_input_category.worker " + str(e) |
||
| 775 | if cursor_energy_db: |
||
| 776 | cursor_energy_db.close() |
||
| 777 | if cnx_energy_db: |
||
| 778 | cnx_energy_db.close() |
||
| 779 | print(error_string) |
||
| 780 | return error_string |
||
| 781 | |||
| 782 | #################################################################################################################### |
||
| 783 | # Step 20: determine common time slot to aggregate |
||
| 784 | #################################################################################################################### |
||
| 785 | |||
| 786 | common_start_datetime_utc = start_datetime_utc |
||
| 787 | common_end_datetime_utc = end_datetime_utc |
||
| 788 | |||
| 789 | print("Getting common time slot of energy values for all meters") |
||
| 790 | if energy_meter_hourly is not None and len(energy_meter_hourly) > 0: |
||
| 791 | for meter_id, energy_hourly in energy_meter_hourly.items(): |
||
| 792 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 793 | common_start_datetime_utc = None |
||
| 794 | common_end_datetime_utc = None |
||
| 795 | break |
||
| 796 | else: |
||
| 797 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 798 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 799 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 800 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 801 | |||
| 802 | print("Getting common time slot of energy values for all virtual meters") |
||
| 803 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 804 | if energy_virtual_meter_hourly is not None and len(energy_virtual_meter_hourly) > 0: |
||
| 805 | for meter_id, energy_hourly in energy_virtual_meter_hourly.items(): |
||
| 806 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 807 | common_start_datetime_utc = None |
||
| 808 | common_end_datetime_utc = None |
||
| 809 | break |
||
| 810 | else: |
||
| 811 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 812 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 813 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 814 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 815 | |||
| 816 | print("Getting common time slot of energy values for all offline meters") |
||
| 817 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 818 | if energy_offline_meter_hourly is not None and len(energy_offline_meter_hourly) > 0: |
||
| 819 | for meter_id, energy_hourly in energy_offline_meter_hourly.items(): |
||
| 820 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 821 | common_start_datetime_utc = None |
||
| 822 | common_end_datetime_utc = None |
||
| 823 | break |
||
| 824 | else: |
||
| 825 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 826 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 827 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 828 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 829 | |||
| 830 | print("Getting common time slot of energy values for all combined equipments") |
||
| 831 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 832 | if energy_combined_equipment_hourly is not None and len(energy_combined_equipment_hourly) > 0: |
||
| 833 | for combined_equipment_id, energy_hourly in energy_combined_equipment_hourly.items(): |
||
| 834 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 835 | common_start_datetime_utc = None |
||
| 836 | common_end_datetime_utc = None |
||
| 837 | break |
||
| 838 | else: |
||
| 839 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 840 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 841 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 842 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 843 | |||
| 844 | print("Getting common time slot of energy values for all equipments") |
||
| 845 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 846 | if energy_equipment_hourly is not None and len(energy_equipment_hourly) > 0: |
||
| 847 | for equipment_id, energy_hourly in energy_equipment_hourly.items(): |
||
| 848 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 849 | common_start_datetime_utc = None |
||
| 850 | common_end_datetime_utc = None |
||
| 851 | break |
||
| 852 | else: |
||
| 853 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 854 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 855 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 856 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 857 | |||
| 858 | print("Getting common time slot of energy values for all shopfloors") |
||
| 859 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 860 | if energy_shopfloor_hourly is not None and len(energy_shopfloor_hourly) > 0: |
||
| 861 | for shopfloor_id, energy_hourly in energy_shopfloor_hourly.items(): |
||
| 862 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 863 | common_start_datetime_utc = None |
||
| 864 | common_end_datetime_utc = None |
||
| 865 | break |
||
| 866 | else: |
||
| 867 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 868 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 869 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 870 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 871 | |||
| 872 | print("Getting common time slot of energy values for all stores") |
||
| 873 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 874 | if energy_store_hourly is not None and len(energy_store_hourly) > 0: |
||
| 875 | for store_id, energy_hourly in energy_store_hourly.items(): |
||
| 876 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 877 | common_start_datetime_utc = None |
||
| 878 | common_end_datetime_utc = None |
||
| 879 | break |
||
| 880 | else: |
||
| 881 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 882 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 883 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 884 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 885 | |||
| 886 | print("Getting common time slot of energy values for all tenants") |
||
| 887 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 888 | if energy_tenant_hourly is not None and len(energy_tenant_hourly) > 0: |
||
| 889 | for tenant_id, energy_hourly in energy_tenant_hourly.items(): |
||
| 890 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 891 | common_start_datetime_utc = None |
||
| 892 | common_end_datetime_utc = None |
||
| 893 | break |
||
| 894 | else: |
||
| 895 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 896 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 897 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 898 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 899 | |||
| 900 | print("Getting common time slot of energy values for all child spaces") |
||
| 901 | if common_start_datetime_utc is not None and common_start_datetime_utc is not None: |
||
| 902 | if energy_child_space_hourly is not None and len(energy_child_space_hourly) > 0: |
||
| 903 | for child_space_id, energy_hourly in energy_child_space_hourly.items(): |
||
| 904 | if energy_hourly is None or len(energy_hourly) == 0: |
||
| 905 | common_start_datetime_utc = None |
||
| 906 | common_end_datetime_utc = None |
||
| 907 | break |
||
| 908 | else: |
||
| 909 | if common_start_datetime_utc < min(energy_hourly.keys()): |
||
| 910 | common_start_datetime_utc = min(energy_hourly.keys()) |
||
| 911 | if common_end_datetime_utc > max(energy_hourly.keys()): |
||
| 912 | common_end_datetime_utc = max(energy_hourly.keys()) |
||
| 913 | |||
| 914 | if (energy_meter_hourly is None or len(energy_meter_hourly) == 0) and \ |
||
| 915 | (energy_virtual_meter_hourly is None or len(energy_virtual_meter_hourly) == 0) and \ |
||
| 916 | (energy_offline_meter_hourly is None or len(energy_offline_meter_hourly) == 0) and \ |
||
| 917 | (energy_combined_equipment_hourly is None or len(energy_combined_equipment_hourly) == 0) and \ |
||
| 918 | (energy_equipment_hourly is None or len(energy_equipment_hourly) == 0) and \ |
||
| 919 | (energy_shopfloor_hourly is None or len(energy_shopfloor_hourly) == 0) and \ |
||
| 920 | (energy_store_hourly is None or len(energy_store_hourly) == 0) and \ |
||
| 921 | (energy_tenant_hourly is None or len(energy_tenant_hourly) == 0) and \ |
||
| 922 | (energy_child_space_hourly is None or len(energy_child_space_hourly) == 0): |
||
| 923 | # There isn't any energy data |
||
| 924 | print("There isn't any energy data") |
||
| 925 | # continue the for space loop to the next space |
||
| 926 | print("continue the for space loop to the next space") |
||
| 927 | if cursor_energy_db: |
||
| 928 | cursor_energy_db.close() |
||
| 929 | if cnx_energy_db: |
||
| 930 | cnx_energy_db.close() |
||
| 931 | return None |
||
| 932 | |||
| 933 | print("common_start_datetime_utc: " + str(common_start_datetime_utc)) |
||
| 934 | print("common_end_datetime_utc: " + str(common_end_datetime_utc)) |
||
| 935 | |||
| 936 | #################################################################################################################### |
||
| 937 | # Step 21: aggregate energy data in the common time slot by energy categories and hourly |
||
| 938 | #################################################################################################################### |
||
| 939 | |||
| 940 | print("Step 21: aggregate energy data in the common time slot by energy categories and hourly") |
||
| 941 | aggregated_values = list() |
||
| 942 | try: |
||
| 943 | current_datetime_utc = common_start_datetime_utc |
||
| 944 | while common_start_datetime_utc is not None \ |
||
| 945 | and common_end_datetime_utc is not None \ |
||
| 946 | and current_datetime_utc <= common_end_datetime_utc: |
||
| 947 | aggregated_value = dict() |
||
| 948 | aggregated_value['start_datetime_utc'] = current_datetime_utc |
||
| 949 | aggregated_value['meta_data'] = dict() |
||
| 950 | |||
| 951 | if meter_list is not None and len(meter_list) > 0: |
||
| 952 | for meter in meter_list: |
||
| 953 | meter_id = str(meter['id']) |
||
| 954 | energy_category_id = meter['energy_category_id'] |
||
| 955 | actual_value = energy_meter_hourly[meter_id].get(current_datetime_utc, Decimal(0.0)) |
||
| 956 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 957 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 958 | |||
| 959 | if virtual_meter_list is not None and len(virtual_meter_list) > 0: |
||
| 960 | for virtual_meter in virtual_meter_list: |
||
| 961 | virtual_meter_id = str(virtual_meter['id']) |
||
| 962 | energy_category_id = virtual_meter['energy_category_id'] |
||
| 963 | actual_value = energy_virtual_meter_hourly[virtual_meter_id].get(current_datetime_utc, Decimal(0.0)) |
||
| 964 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 965 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 966 | |||
| 967 | if offline_meter_list is not None and len(offline_meter_list) > 0: |
||
| 968 | for offline_meter in offline_meter_list: |
||
| 969 | offline_meter_id = str(offline_meter['id']) |
||
| 970 | energy_category_id = offline_meter['energy_category_id'] |
||
| 971 | actual_value = energy_offline_meter_hourly[offline_meter_id].get(current_datetime_utc, Decimal(0.0)) |
||
| 972 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 973 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 974 | |||
| 975 | if combined_equipment_list is not None and len(combined_equipment_list) > 0: |
||
| 976 | for combined_equipment in combined_equipment_list: |
||
| 977 | combined_equipment_id = str(combined_equipment['id']) |
||
| 978 | meta_data_dict = \ |
||
| 979 | energy_combined_equipment_hourly[combined_equipment_id].get(current_datetime_utc, None) |
||
| 980 | if meta_data_dict is not None and len(meta_data_dict) > 0: |
||
| 981 | for energy_category_id, actual_value in meta_data_dict.items(): |
||
| 982 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 983 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 984 | |||
| 985 | if equipment_list is not None and len(equipment_list) > 0: |
||
| 986 | for equipment in equipment_list: |
||
| 987 | equipment_id = str(equipment['id']) |
||
| 988 | meta_data_dict = energy_equipment_hourly[equipment_id].get(current_datetime_utc, None) |
||
| 989 | if meta_data_dict is not None and len(meta_data_dict) > 0: |
||
| 990 | for energy_category_id, actual_value in meta_data_dict.items(): |
||
| 991 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 992 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 993 | |||
| 994 | if shopfloor_list is not None and len(shopfloor_list) > 0: |
||
| 995 | for shopfloor in shopfloor_list: |
||
| 996 | shopfloor_id = str(shopfloor['id']) |
||
| 997 | meta_data_dict = energy_shopfloor_hourly[shopfloor_id].get(current_datetime_utc, None) |
||
| 998 | if meta_data_dict is not None and len(meta_data_dict) > 0: |
||
| 999 | for energy_category_id, actual_value in meta_data_dict.items(): |
||
| 1000 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 1001 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 1002 | |||
| 1003 | if store_list is not None and len(store_list) > 0: |
||
| 1004 | for store in store_list: |
||
| 1005 | store_id = str(store['id']) |
||
| 1006 | meta_data_dict = energy_store_hourly[store_id].get(current_datetime_utc, None) |
||
| 1007 | if meta_data_dict is not None and len(meta_data_dict) > 0: |
||
| 1008 | for energy_category_id, actual_value in meta_data_dict.items(): |
||
| 1009 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 1010 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 1011 | |||
| 1012 | if tenant_list is not None and len(tenant_list) > 0: |
||
| 1013 | for tenant in tenant_list: |
||
| 1014 | tenant_id = str(tenant['id']) |
||
| 1015 | meta_data_dict = energy_tenant_hourly[tenant_id].get(current_datetime_utc, None) |
||
| 1016 | if meta_data_dict is not None and len(meta_data_dict) > 0: |
||
| 1017 | for energy_category_id, actual_value in meta_data_dict.items(): |
||
| 1018 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 1019 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 1020 | |||
| 1021 | if child_space_list is not None and len(child_space_list) > 0: |
||
| 1022 | for child_space in child_space_list: |
||
| 1023 | child_space_id = str(child_space['id']) |
||
| 1024 | meta_data_dict = energy_child_space_hourly[child_space_id].get(current_datetime_utc, None) |
||
| 1025 | if meta_data_dict is not None and len(meta_data_dict) > 0: |
||
| 1026 | for energy_category_id, actual_value in meta_data_dict.items(): |
||
| 1027 | aggregated_value['meta_data'][energy_category_id] = \ |
||
| 1028 | aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value |
||
| 1029 | |||
| 1030 | aggregated_values.append(aggregated_value) |
||
| 1031 | |||
| 1032 | current_datetime_utc += timedelta(minutes=config.minutes_to_count) |
||
| 1033 | |||
| 1034 | except Exception as e: |
||
| 1035 | error_string = "Error in step 21 of space_energy_input_category.worker " + str(e) |
||
| 1036 | if cursor_energy_db: |
||
| 1037 | cursor_energy_db.close() |
||
| 1038 | if cnx_energy_db: |
||
| 1039 | cnx_energy_db.close() |
||
| 1040 | print(error_string) |
||
| 1041 | return error_string |
||
| 1042 | |||
| 1043 | #################################################################################################################### |
||
| 1044 | # Step 22: save energy data to energy database |
||
| 1045 | #################################################################################################################### |
||
| 1046 | print("Step 22: save energy data to energy database") |
||
| 1047 | |||
| 1048 | if len(aggregated_values) > 0: |
||
| 1049 | try: |
||
| 1050 | add_values = (" INSERT INTO tbl_space_input_category_hourly " |
||
| 1051 | " (space_id, " |
||
| 1052 | " energy_category_id, " |
||
| 1053 | " start_datetime_utc, " |
||
| 1054 | " actual_value) " |
||
| 1055 | " VALUES ") |
||
| 1056 | |||
| 1057 | for aggregated_value in aggregated_values: |
||
| 1058 | for energy_category_id, actual_value in aggregated_value['meta_data'].items(): |
||
| 1059 | add_values += " (" + str(space['id']) + "," |
||
| 1060 | add_values += " " + str(energy_category_id) + "," |
||
| 1061 | add_values += "'" + aggregated_value['start_datetime_utc'].isoformat()[0:19] + "'," |
||
| 1062 | add_values += str(actual_value) + "), " |
||
| 1063 | print("add_values:" + add_values) |
||
| 1064 | # trim ", " at the end of string and then execute |
||
| 1065 | cursor_energy_db.execute(add_values[:-2]) |
||
| 1066 | cnx_energy_db.commit() |
||
| 1067 | |||
| 1068 | except Exception as e: |
||
| 1069 | error_string = "Error in step 22 of space_energy_input_category.worker " + str(e) |
||
| 1070 | print(error_string) |
||
| 1071 | return error_string |
||
| 1072 | finally: |
||
| 1073 | if cursor_energy_db: |
||
| 1074 | cursor_energy_db.close() |
||
| 1075 | if cnx_energy_db: |
||
| 1076 | cnx_energy_db.close() |
||
| 1077 | else: |
||
| 1078 | if cursor_energy_db: |
||
| 1079 | cursor_energy_db.close() |
||
| 1080 | if cnx_energy_db: |
||
| 1081 | cnx_energy_db.close() |
||
| 1082 |
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