myems-aggregation/energy_storage_container_energy_discharge.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 energy storage containers
# Step 2: Create multiprocessing pool to call worker in parallel
########################################################################################################################
def main(logger):
while True:
# the outermost while loop
################################################################################################################
# Step 1: get all energy storage containers
################################################################################################################
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 energy_storage_container_energy_discharge.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")
energy_storage_container_list = list()
try:
cursor_system_db.execute(" SELECT id, name "
" FROM tbl_energy_storage_containers "
" ORDER BY id ")
rows_energy_storage_containers = cursor_system_db.fetchall()
if rows_energy_storage_containers is None or len(rows_energy_storage_containers) == 0:
print("There isn't any energy storage containers ")
# sleep and continue the outer loop to reconnect the database
time.sleep(60)
continue
for row in rows_energy_storage_containers:
energy_storage_container_list.append({"id": row[0], "name": row[1]})
except Exception as e:
logger.error("Error in step 1.2 of energy_storage_container_energy_discharge.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 energy storage containers in MyEMS System Database")
# shuffle the energy storage container list for randomly calculating the hourly values
random.shuffle(energy_storage_container_list)
################################################################################################################
# Step 2: Create multiprocessing pool to call worker in parallel
################################################################################################################
p = Pool(processes=config.pool_size)
error_list = p.map(worker, energy_storage_container_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 discharge meters associated with the energy storage container
# Step 2: determine start datetime and end datetime to aggregate
# Step 3: for each discharge meter in list, get energy data from energy database
# Step 4: determine common time slot to aggregate
# Step 5: aggregate energy data in the common time slot by energy categories and hourly
# Step 6: 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(energy_storage_container):
####################################################################################################################
# Step 1: get all discharge meters associated with the energy storage container
####################################################################################################################
print("Step 1: get all discharge meters associated with the energy storage container " +
str(energy_storage_container['name']))
discharge_meter_list = list()
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 energy_storage_container_energy_discharge.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
try:
cursor_system_db.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_meters m, tbl_energy_storage_containers_batteries mb "
" WHERE m.id = mb.discharge_meter_id "
" AND m.is_counted = 1 "
" AND mb.energy_storage_container_id = %s ",
(energy_storage_container['id'],))
rows_discharge_meters = cursor_system_db.fetchall()
if rows_discharge_meters is not None and len(rows_discharge_meters) > 0:
for row in rows_discharge_meters:
discharge_meter_list.append({"id": row[0],
"name": row[1],
"energy_category_id": row[2]})
except Exception as e:
error_string = "Error in step 1.2 of energy_storage_container_energy_discharge.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
####################################################################################################################
# stop to the next energy storage container if this energy storage container is empty
####################################################################################################################
if discharge_meter_list is None or len(discharge_meter_list) == 0:
print("This is an empty energy storage container ")
return None
####################################################################################################################
# Step 2: determine start datetime and end datetime to aggregate
####################################################################################################################
print("Step 2: 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 2.1 of energy_storage_container_energy_discharge.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_energy_storage_container_discharge_hourly "
" WHERE energy_storage_container_id = %s ")
cursor_energy_db.execute(query, (energy_storage_container['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 2.2 of energy_storage_container_energy_discharge.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 3: for each discharge meter in list, get energy data from energy database
####################################################################################################################
energy_meter_hourly = dict()
try:
if discharge_meter_list is not None and len(discharge_meter_list) > 0:
for meter in discharge_meter_list:
meter_id = str(meter['id'])
query = (" SELECT start_datetime_utc, actual_value "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s "
" ORDER BY start_datetime_utc ")
cursor_energy_db.execute(query, (meter_id, start_datetime_utc, end_datetime_utc,))
rows_energy_values = cursor_energy_db.fetchall()
if rows_energy_values is None or len(rows_energy_values) == 0:
energy_meter_hourly[meter_id] = None
else:
energy_meter_hourly[meter_id] = dict()
for row_energy_value in rows_energy_values:
energy_meter_hourly[meter_id][row_energy_value[0]] = row_energy_value[1]
except Exception as e:
error_string = "Error in step 3.1 of energy_storage_container_energy_discharge.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 4: determine common time slot to aggregate
####################################################################################################################
common_start_datetime_utc = start_datetime_utc
common_end_datetime_utc = end_datetime_utc
print("Getting common time slot of energy values for all meters")
if energy_meter_hourly is not None and len(energy_meter_hourly) > 0:
for meter_id, energy_hourly in energy_meter_hourly.items():
if energy_hourly is None or len(energy_hourly) == 0:
common_start_datetime_utc = None
common_end_datetime_utc = None
break
else:
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
common_end_datetime_utc = max(energy_hourly.keys())
if energy_meter_hourly is None or len(energy_meter_hourly) == 0:
# There isn't any energy data
print("There isn't any energy data")
# continue the for tenant loop to the next energy storage container
print("continue the for energy storage container loop to the next energy storage container")
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 5: aggregate energy data in the common time slot by energy categories and hourly
####################################################################################################################
print("Step 5: 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 discharge_meter_list is not None and len(discharge_meter_list) > 0:
for meter in discharge_meter_list:
meter_id = str(meter['id'])
energy_category_id = meter['energy_category_id']
actual_value = energy_meter_hourly[meter_id].get(current_datetime_utc, Decimal(0.0))
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 5 of energy_storage_container_energy_discharge.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: save energy data to energy database
####################################################################################################################
print("Step 6: 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_energy_storage_container_discharge_hourly "
" (energy_storage_container_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(energy_storage_container['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 6.1 of energy_storage_container_energy_discharge.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