myems-aggregation/space_energy_output_category.py
import random
import time
from datetime import datetime, timedelta
from decimal import Decimal
from multiprocessing import Pool
import mysql.connector
import config
########################################################################################################################
# PROCEDURES
# Step 1: get all spaces
# Step 2: Create multiprocessing pool to call worker in parallel
########################################################################################################################
def main(logger):
while True:
# the outermost while loop
################################################################################################################
# Step 1: get all spaces
################################################################################################################
cnx_system_db = None
cursor_system_db = None
try:
cnx_system_db = mysql.connector.connect(**config.myems_system_db)
cursor_system_db = cnx_system_db.cursor()
except Exception as e:
logger.error("Error in step 1.1 of space_energy_output_category.main " + str(e))
if cursor_system_db:
cursor_system_db.close()
if cnx_system_db:
cnx_system_db.close()
# sleep and continue the outer loop to reconnect the database
time.sleep(60)
continue
print("Connected to MyEMS System Database")
space_list = list()
try:
cursor_system_db.execute(" SELECT id, name "
" FROM tbl_spaces "
" ORDER BY id ")
rows_spaces = cursor_system_db.fetchall()
if rows_spaces is None or len(rows_spaces) == 0:
print("There isn't any spaces ")
# sleep and continue the outer loop to reconnect the database
time.sleep(60)
continue
for row in rows_spaces:
space_list.append({"id": row[0], "name": row[1]})
except Exception as e:
logger.error("Error in step 1.2 of space_energy_output_category.main " + str(e))
# sleep and continue the outer loop to reconnect the database
time.sleep(60)
continue
finally:
if cursor_system_db:
cursor_system_db.close()
if cnx_system_db:
cnx_system_db.close()
print("Got all spaces in MyEMS System Database")
# shuffle the space list for randomly calculating the meter hourly value
random.shuffle(space_list)
################################################################################################################
# Step 2: Create multiprocessing pool to call worker in parallel
################################################################################################################
p = Pool(processes=config.pool_size)
error_list = p.map(worker, space_list)
p.close()
p.join()
for error in error_list:
if error is not None and len(error) > 0:
logger.error(error)
print("go to sleep 300 seconds...")
time.sleep(300)
print("wake from sleep, and continue to work...")
# end of outer while
########################################################################################################################
# PROCEDURES:
# Step 1: get all combined equipments associated with the space
# Step 2: get all equipments associated with the space
# Step 3: get all child spaces associated with the space
# Step 4: determine start datetime and end datetime to aggregate
# Step 5: for each combined equipment in list, get energy output data from energy database
# Step 6: for each equipment in list, get energy output data from energy database
# Step 7: for each child space in list, get energy output data from energy database
# Step 8: determine common time slot to aggregate
# Step 9: aggregate energy data in the common time slot by energy categories and hourly
# Step 10: save energy data to energy database
#
# NOTE: returns None or the error string because that the logger object cannot be passed in as parameter
########################################################################################################################
def worker(space):
####################################################################################################################
# Step 1: get all combined equipments associated with the space
####################################################################################################################
print("Step 1: get all combined equipments associated with the space")
cnx_system_db = None
cursor_system_db = None
try:
cnx_system_db = mysql.connector.connect(**config.myems_system_db)
cursor_system_db = cnx_system_db.cursor()
except Exception as e:
error_string = "Error in step 1.1 of space_energy_output_category.worker " + str(e)
if cursor_system_db:
cursor_system_db.close()
if cnx_system_db:
cnx_system_db.close()
print(error_string)
return error_string
combined_equipment_list = list()
try:
cursor_system_db.execute(" SELECT e.id, e.name "
" FROM tbl_combined_equipments e, tbl_spaces_combined_equipments se "
" WHERE e.id = se.combined_equipment_id "
" AND e.is_output_counted = 1 "
" AND se.space_id = %s ",
(space['id'],))
rows_combined_equipments = cursor_system_db.fetchall()
if rows_combined_equipments is not None and len(rows_combined_equipments) > 0:
for row in rows_combined_equipments:
combined_equipment_list.append({"id": row[0],
"name": row[1]})
except Exception as e:
error_string = "Error in step 1.2 of space_energy_output_category.worker " + str(e)
if cursor_system_db:
cursor_system_db.close()
if cnx_system_db:
cnx_system_db.close()
print(error_string)
return error_string
####################################################################################################################
# Step 2: get all equipments associated with the space
####################################################################################################################
print("Step 2: get all equipments associated with the space")
equipment_list = list()
try:
cursor_system_db.execute(" SELECT e.id, e.name "
" FROM tbl_equipments e, tbl_spaces_equipments se "
" WHERE e.id = se.equipment_id "
" AND e.is_output_counted = 1 "
" AND se.space_id = %s ",
(space['id'],))
rows_equipments = cursor_system_db.fetchall()
if rows_equipments is not None and len(rows_equipments) > 0:
for row in rows_equipments:
equipment_list.append({"id": row[0],
"name": row[1]})
except Exception as e:
error_string = "Error in step 2.2 of space_energy_output_category.worker " + str(e)
if cursor_system_db:
cursor_system_db.close()
if cnx_system_db:
cnx_system_db.close()
print(error_string)
return error_string
####################################################################################################################
# Step 3: get all child spaces associated with the space
####################################################################################################################
print("Step 3: get all child spaces associated with the space")
child_space_list = list()
try:
cursor_system_db.execute(" SELECT id, name "
" FROM tbl_spaces "
" WHERE is_output_counted = 1 "
" AND parent_space_id = %s ",
(space['id'],))
rows_child_spaces = cursor_system_db.fetchall()
if rows_child_spaces is not None and len(rows_child_spaces) > 0:
for row in rows_child_spaces:
child_space_list.append({"id": row[0],
"name": row[1]})
except Exception as e:
error_string = "Error in step 3 of space_energy_output_category.worker " + str(e)
print(error_string)
return error_string
finally:
if cursor_system_db:
cursor_system_db.close()
if cnx_system_db:
cnx_system_db.close()
if ((combined_equipment_list is None or len(combined_equipment_list) == 0) and
(equipment_list is None or len(equipment_list) == 0) and
(child_space_list is None or len(child_space_list) == 0)):
print("This is an empty space ")
return None
####################################################################################################################
# Step 4: determine start datetime and end datetime to aggregate
####################################################################################################################
print("Step 4: determine start datetime and end datetime to aggregate")
cnx_energy_db = None
cursor_energy_db = None
try:
cnx_energy_db = mysql.connector.connect(**config.myems_energy_db)
cursor_energy_db = cnx_energy_db.cursor()
except Exception as e:
error_string = "Error in step 4.1 of space_energy_output_category.worker " + str(e)
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
print(error_string)
return error_string
try:
query = (" SELECT MAX(start_datetime_utc) "
" FROM tbl_space_output_category_hourly "
" WHERE space_id = %s ")
cursor_energy_db.execute(query, (space['id'],))
row_datetime = cursor_energy_db.fetchone()
start_datetime_utc = datetime.strptime(config.start_datetime_utc, '%Y-%m-%d %H:%M:%S')
start_datetime_utc = start_datetime_utc.replace(minute=0, second=0, microsecond=0, tzinfo=None)
if row_datetime is not None and len(row_datetime) > 0 and isinstance(row_datetime[0], datetime):
# replace second and microsecond with 0
# note: do not replace minute in case of calculating in half hourly
start_datetime_utc = row_datetime[0].replace(second=0, microsecond=0, tzinfo=None)
# start from the next time slot
start_datetime_utc += timedelta(minutes=config.minutes_to_count)
end_datetime_utc = datetime.utcnow().replace(second=0, microsecond=0, tzinfo=None)
print("start_datetime_utc: " + start_datetime_utc.isoformat()[0:19]
+ "end_datetime_utc: " + end_datetime_utc.isoformat()[0:19])
except Exception as e:
error_string = "Error in step 4.2 of space_energy_output_category.worker " + str(e)
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
print(error_string)
return error_string
####################################################################################################################
# Step 5: for each combined equipment in list, get energy output data from energy database
####################################################################################################################
energy_combined_equipment_hourly = dict()
if combined_equipment_list is not None and len(combined_equipment_list) > 0:
try:
for combined_equipment in combined_equipment_list:
combined_equipment_id = str(combined_equipment['id'])
query = (" SELECT start_datetime_utc, energy_category_id, actual_value "
" FROM tbl_combined_equipment_output_category_hourly "
" WHERE combined_equipment_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s "
" ORDER BY start_datetime_utc ")
cursor_energy_db.execute(query, (combined_equipment_id, start_datetime_utc, end_datetime_utc,))
rows_energy_values = cursor_energy_db.fetchall()
if rows_energy_values is None or len(rows_energy_values) == 0:
energy_combined_equipment_hourly[combined_equipment_id] = None
else:
energy_combined_equipment_hourly[combined_equipment_id] = dict()
for row_value in rows_energy_values:
current_datetime_utc = row_value[0]
if current_datetime_utc not in energy_combined_equipment_hourly[combined_equipment_id]:
energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc] = dict()
energy_category_id = row_value[1]
actual_value = row_value[2]
energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc][
energy_category_id] = actual_value
except Exception as e:
error_string = "Error in step 5 of space_energy_output_category.worker " + str(e)
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
print(error_string)
return error_string
####################################################################################################################
# Step 6: for each equipment in list, get energy output data from energy database
####################################################################################################################
energy_equipment_hourly = dict()
if equipment_list is not None and len(equipment_list) > 0:
try:
for equipment in equipment_list:
equipment_id = str(equipment['id'])
query = (" SELECT start_datetime_utc, energy_category_id, actual_value "
" FROM tbl_equipment_output_category_hourly "
" WHERE equipment_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s "
" ORDER BY start_datetime_utc ")
cursor_energy_db.execute(query, (equipment_id, start_datetime_utc, end_datetime_utc,))
rows_energy_values = cursor_energy_db.fetchall()
if rows_energy_values is None or len(rows_energy_values) == 0:
energy_equipment_hourly[equipment_id] = None
else:
energy_equipment_hourly[equipment_id] = dict()
for row_value in rows_energy_values:
current_datetime_utc = row_value[0]
if current_datetime_utc not in energy_equipment_hourly[equipment_id]:
energy_equipment_hourly[equipment_id][current_datetime_utc] = dict()
energy_category_id = row_value[1]
actual_value = row_value[2]
energy_equipment_hourly[equipment_id][current_datetime_utc][energy_category_id] = \
actual_value
except Exception as e:
error_string = "Error in step 6 of space_energy_output_category.worker " + str(e)
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
print(error_string)
return error_string
####################################################################################################################
# Step 7: for each child space in list, get energy output data from energy database
####################################################################################################################
energy_child_space_hourly = dict()
if child_space_list is not None and len(child_space_list) > 0:
try:
for child_space in child_space_list:
child_space_id = str(child_space['id'])
query = (" SELECT start_datetime_utc, energy_category_id, actual_value "
" FROM tbl_space_output_category_hourly "
" WHERE space_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s "
" ORDER BY start_datetime_utc ")
cursor_energy_db.execute(query, (child_space_id, start_datetime_utc, end_datetime_utc,))
rows_energy_values = cursor_energy_db.fetchall()
if rows_energy_values is None or len(rows_energy_values) == 0:
energy_child_space_hourly[child_space_id] = None
else:
energy_child_space_hourly[child_space_id] = dict()
for row_energy_value in rows_energy_values:
current_datetime_utc = row_energy_value[0]
if current_datetime_utc not in energy_child_space_hourly[child_space_id]:
energy_child_space_hourly[child_space_id][current_datetime_utc] = dict()
energy_category_id = row_energy_value[1]
actual_value = row_energy_value[2]
energy_child_space_hourly[child_space_id][current_datetime_utc][energy_category_id] \
= actual_value
except Exception as e:
error_string = "Error in step 7 of space_energy_output_category.worker " + str(e)
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
print(error_string)
return error_string
####################################################################################################################
# Step 8: determine common time slot to aggregate
####################################################################################################################
common_start_datetime_utc = start_datetime_utc
common_end_datetime_utc = end_datetime_utc
print("Getting common time slot of energy values for all combined equipments")
if common_start_datetime_utc is not None and common_end_datetime_utc is not None:
if energy_combined_equipment_hourly is not None and len(energy_combined_equipment_hourly) > 0:
for combined_equipment_id, energy_hourly in energy_combined_equipment_hourly.items():
if energy_hourly is None or len(energy_hourly) == 0:
common_start_datetime_utc = None
common_end_datetime_utc = None
break
else:
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
common_end_datetime_utc = max(energy_hourly.keys())
print("Getting common time slot of energy values for all equipments...")
if common_start_datetime_utc is not None and common_end_datetime_utc is not None:
if energy_equipment_hourly is not None and len(energy_equipment_hourly) > 0:
for equipment_id, energy_hourly in energy_equipment_hourly.items():
if energy_hourly is None or len(energy_hourly) == 0:
common_start_datetime_utc = None
common_end_datetime_utc = None
break
else:
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
common_end_datetime_utc = max(energy_hourly.keys())
print("Getting common time slot of energy values for all child spaces...")
if common_start_datetime_utc is not None and common_end_datetime_utc is not None:
if energy_child_space_hourly is not None and len(energy_child_space_hourly) > 0:
for child_space_id, energy_hourly in energy_child_space_hourly.items():
if energy_hourly is None or len(energy_hourly) == 0:
common_start_datetime_utc = None
common_end_datetime_utc = None
break
else:
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
common_end_datetime_utc = max(energy_hourly.keys())
if (energy_combined_equipment_hourly is None or len(energy_combined_equipment_hourly) == 0) and \
(energy_equipment_hourly is None or len(energy_equipment_hourly) == 0) and \
(energy_child_space_hourly is None or len(energy_child_space_hourly) == 0):
# There isn't any energy data
print("There isn't any energy data")
# continue the for space loop to the next space
print("continue the for space loop to the next space")
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
return None
print("common_start_datetime_utc: " + str(common_start_datetime_utc))
print("common_end_datetime_utc: " + str(common_end_datetime_utc))
####################################################################################################################
# Step 9: aggregate energy data in the common time slot by energy categories and hourly
####################################################################################################################
print("Step 9: aggregate energy data in the common time slot by energy categories and hourly")
aggregated_values = list()
try:
current_datetime_utc = common_start_datetime_utc
while common_start_datetime_utc is not None \
and common_end_datetime_utc is not None \
and current_datetime_utc <= common_end_datetime_utc:
aggregated_value = dict()
aggregated_value['start_datetime_utc'] = current_datetime_utc
aggregated_value['meta_data'] = dict()
if combined_equipment_list is not None and len(combined_equipment_list) > 0:
for combined_equipment in combined_equipment_list:
combined_equipment_id = str(combined_equipment['id'])
meta_data_dict = \
energy_combined_equipment_hourly[combined_equipment_id].get(current_datetime_utc, None)
if meta_data_dict is not None and len(meta_data_dict) > 0:
for energy_category_id, actual_value in meta_data_dict.items():
aggregated_value['meta_data'][energy_category_id] = \
aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value
if equipment_list is not None and len(equipment_list) > 0:
for equipment in equipment_list:
equipment_id = str(equipment['id'])
meta_data_dict = energy_equipment_hourly[equipment_id].get(current_datetime_utc, None)
if meta_data_dict is not None and len(meta_data_dict) > 0:
for energy_category_id, actual_value in meta_data_dict.items():
aggregated_value['meta_data'][energy_category_id] = \
aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value
if child_space_list is not None and len(child_space_list) > 0:
for child_space in child_space_list:
child_space_id = str(child_space['id'])
meta_data_dict = energy_child_space_hourly[child_space_id].get(current_datetime_utc, None)
if meta_data_dict is not None and len(meta_data_dict) > 0:
for energy_category_id, actual_value in meta_data_dict.items():
aggregated_value['meta_data'][energy_category_id] = \
aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value
aggregated_values.append(aggregated_value)
current_datetime_utc += timedelta(minutes=config.minutes_to_count)
except Exception as e:
error_string = "Error in step 9 of space_energy_output_category.worker " + str(e)
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
print(error_string)
return error_string
####################################################################################################################
# Step 10: save energy data to energy database
####################################################################################################################
print("Step 10: save energy data to energy database")
while len(aggregated_values) > 0:
insert_100 = aggregated_values[:100]
aggregated_values = aggregated_values[100:]
try:
add_values = (" INSERT INTO tbl_space_output_category_hourly "
" (space_id, "
" energy_category_id, "
" start_datetime_utc, "
" actual_value) "
" VALUES ")
for aggregated_value in insert_100:
for energy_category_id, actual_value in aggregated_value['meta_data'].items():
add_values += " (" + str(space['id']) + ","
add_values += " " + str(energy_category_id) + ","
add_values += "'" + aggregated_value['start_datetime_utc'].isoformat()[0:19] + "',"
add_values += str(actual_value) + "), "
print("add_values:" + add_values)
# trim ", " at the end of string and then execute
cursor_energy_db.execute(add_values[:-2])
cnx_energy_db.commit()
except Exception as e:
error_string = "Error in step 8 of space_energy_output_category.worker " + str(e)
print(error_string)
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
return error_string
if cursor_energy_db:
cursor_energy_db.close()
if cnx_energy_db:
cnx_energy_db.close()
return None