myems-api/reports/microgriddetails.py
import re
from datetime import datetime, timedelta, timezone
from decimal import Decimal
import falcon
import mysql.connector
import simplejson as json
from core.useractivity import access_control, api_key_control
import config
class Reporting:
def __init__(self):
"""Initializes Class"""
pass
@staticmethod
def on_options(req, resp):
resp.status = falcon.HTTP_200
####################################################################################################################
# PROCEDURES
# Step 1: valid parameters
# Step 2: query the microgrid
# Step 3: query associated batteries
# Step 4: query associated power conversion systems
# Step 5: query associated evchargers
# Step 6: query associated generators
# Step 7: query associated grids
# Step 8: query associated heatpumps
# Step 9: query associated loads
# Step 10: query associated photovoltaics
# Step 11: query associated schedules
# Step 12: query associated sensors
# Step 13: query associated meters data
# Step 14: query associated points data
# Step 15: construct the report
####################################################################################################################
@staticmethod
def on_get(req, resp):
if 'API-KEY' not in req.headers or \
not isinstance(req.headers['API-KEY'], str) or \
len(str.strip(req.headers['API-KEY'])) == 0:
access_control(req)
else:
api_key_control(req)
print(req.params)
# this procedure accepts microgrid id or microgrid uuid to identify a microgrid
microgrid_id = req.params.get('id')
microgrid_uuid = req.params.get('uuid')
################################################################################################################
# Step 1: valid parameters
################################################################################################################
if microgrid_id is None and microgrid_uuid is None:
raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
description='API.INVALID_MICROGRID_ID')
if microgrid_id is not None:
microgrid_id = str.strip(microgrid_id)
if not microgrid_id.isdigit() or int(microgrid_id) <= 0:
raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
description='API.INVALID_MICROGRID_ID')
if microgrid_uuid is not None:
regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I)
match = regex.match(str.strip(microgrid_uuid))
if not bool(match):
raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
description='API.INVALID_MICROGRID_UUID')
reporting_start_datetime_utc = datetime.utcnow() - timedelta(days=3)
reporting_end_datetime_utc = datetime.utcnow()
################################################################################################################
# Step 2: Step 2: query the microgrid
################################################################################################################
cnx_system = mysql.connector.connect(**config.myems_system_db)
cursor_system = cnx_system.cursor()
cnx_energy = mysql.connector.connect(**config.myems_energy_db)
cursor_energy = cnx_energy.cursor()
cnx_billing = mysql.connector.connect(**config.myems_billing_db)
cursor_billing = cnx_billing.cursor()
cnx_carbon = mysql.connector.connect(**config.myems_carbon_db)
cursor_carbon = cnx_carbon.cursor()
cnx_historical = mysql.connector.connect(**config.myems_historical_db)
cursor_historical = cnx_historical.cursor()
query = (" SELECT id, name, uuid "
" FROM tbl_contacts ")
cursor_system.execute(query)
rows_contacts = cursor_system.fetchall()
contact_dict = dict()
if rows_contacts is not None and len(rows_contacts) > 0:
for row in rows_contacts:
contact_dict[row[0]] = {"id": row[0],
"name": row[1],
"uuid": row[2]}
query = (" SELECT id, name, uuid "
" FROM tbl_cost_centers ")
cursor_system.execute(query)
rows_cost_centers = cursor_system.fetchall()
cost_center_dict = dict()
if rows_cost_centers is not None and len(rows_cost_centers) > 0:
for row in rows_cost_centers:
cost_center_dict[row[0]] = {"id": row[0],
"name": row[1],
"uuid": row[2]}
if microgrid_id is not None:
query = (" SELECT m.id, m.name, m.uuid, "
" m.address, m.postal_code, m.latitude, m.longitude, m.rated_capacity, m.rated_power, "
" m.contact_id, m.cost_center_id, m.serial_number, s.source_code, m.description "
" FROM tbl_microgrids m, tbl_svgs s"
" WHERE m.svg_id = s.id AND m.id = %s ")
cursor_system.execute(query, (microgrid_id,))
row = cursor_system.fetchone()
elif microgrid_uuid is not None:
query = (" SELECT m.id, m.name, m.uuid, "
" m.address, m.postal_code, m.latitude, m.longitude, m.rated_capacity, m.rated_power, "
" m.contact_id, m.cost_center_id, m.serial_number, s.source_code, m.description "
" FROM tbl_microgrids m, tbl_svgs s "
" WHERE m.svg_id = s.id AND m.uuid = %s ")
cursor_system.execute(query, (microgrid_uuid,))
row = cursor_system.fetchone()
if row is None:
cursor_system.close()
cnx_system.close()
raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND',
description='API.MICROGRID_NOT_FOUND')
else:
microgrid_id = row[0]
meta_result = {"id": row[0],
"name": row[1],
"uuid": row[2],
"address": row[3],
"postal_code": row[4],
"latitude": row[5],
"longitude": row[6],
"rated_capacity": row[7],
"rated_power": row[8],
"contact": contact_dict.get(row[9], None),
"cost_center": cost_center_dict.get(row[10], None),
"serial_number": row[11],
"svg": row[12],
"description": row[13],
"qrcode": 'microgrid:' + row[2]}
point_list = list()
meter_list = list()
# query all energy categories in system
cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e "
" FROM tbl_energy_categories "
" ORDER BY id ", )
rows_energy_categories = cursor_system.fetchall()
if rows_energy_categories is None or len(rows_energy_categories) == 0:
if cursor_system:
cursor_system.close()
if cnx_system:
cnx_system.close()
raise falcon.HTTPError(status=falcon.HTTP_404,
title='API.NOT_FOUND',
description='API.ENERGY_CATEGORY_NOT_FOUND')
energy_category_dict = dict()
for row_energy_category in rows_energy_categories:
energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1],
"unit_of_measure": row_energy_category[2],
"kgce": row_energy_category[3],
"kgco2e": row_energy_category[4]}
################################################################################################################
# Step 3: query associated batteries
################################################################################################################
energy_value_latest_dict = dict()
query = (" SELECT point_id, actual_value "
" FROM tbl_energy_value_latest ")
cursor_historical.execute(query, )
energy_value_latest_rows = cursor_historical.fetchall()
for row in energy_value_latest_rows:
energy_value_latest_dict[row[0]] = row[1]
analog_value_latest_dict = dict()
query = (" SELECT point_id, actual_value "
" FROM tbl_analog_value_latest ")
cursor_historical.execute(query, )
analog_value_latest_rows = cursor_historical.fetchall()
for row in analog_value_latest_rows:
analog_value_latest_dict[row[0]] = row[1]
digital_value_latest_dict = dict()
query = (" SELECT point_id, actual_value "
" FROM tbl_digital_value_latest ")
cursor_historical.execute(query, )
digital_value_latest_rows = cursor_historical.fetchall()
for row in digital_value_latest_rows:
digital_value_latest_dict[row[0]] = row[1]
cursor_system.execute(" SELECT battery_state_point_id "
" FROM tbl_microgrids_batteries "
" WHERE microgrid_id = %s "
" ORDER BY id "
" LIMIT 1 ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
battery_state_point_id = row_point[0]
if digital_value_latest_dict.get(battery_state_point_id) is not None:
battery_state_point_value = digital_value_latest_dict.get(battery_state_point_id)
cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type "
" FROM tbl_microgrids_batteries mb, tbl_points p "
" WHERE mb.microgrid_id = %s AND mb.soc_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1] + '.SOC',
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT p.id, mb.name, p.units, p.object_type "
" FROM tbl_microgrids_batteries mb, tbl_points p "
" WHERE mb.microgrid_id = %s AND mb.power_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1]+'.P',
"units": row_point[2],
"object_type": row_point[3]})
charge_meter_id = None
cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id "
" FROM tbl_microgrids_batteries mb, tbl_meters m "
" WHERE mb.microgrid_id = %s AND mb.charge_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1] + '.Charge',
"energy_category_id": row_meter[2]})
charge_meter_id = row_meter[0]
discharge_meter_id = None
cursor_system.execute(" SELECT m.id, mb.name, m.energy_category_id "
" FROM tbl_microgrids_batteries mb, tbl_meters m "
" WHERE mb.microgrid_id = %s AND mb.discharge_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1] + '.Discharge',
"energy_category_id": row_meter[2]})
discharge_meter_id = row_meter[0]
################################################################################################################
# Step 4: query associated power conversion systems
################################################################################################################
# Step 4.1 query energy indicator data
timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
if config.utc_offset[0] == '-':
timezone_offset = -timezone_offset
today_end_datetime_utc = datetime.utcnow()
today_end_datetime_local = datetime.utcnow() + timedelta(minutes=timezone_offset)
today_start_datetime_local = today_end_datetime_local.replace(hour=0, minute=0, second=0, microsecond=0)
today_start_datetime_utc = today_start_datetime_local - timedelta(minutes=timezone_offset)
today_charge_energy_value = Decimal(0.0)
today_discharge_energy_value = Decimal(0.0)
total_charge_energy_value = Decimal(0.0)
total_discharge_energy_value = Decimal(0.0)
# query meter energy
cursor_energy.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s ",
(charge_meter_id,
today_start_datetime_utc,
today_end_datetime_utc))
row = cursor_energy.fetchone()
if row is not None:
today_charge_energy_value = row[0]
cursor_energy.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s ",
(discharge_meter_id,
today_start_datetime_utc,
today_end_datetime_utc))
row = cursor_energy.fetchone()
if row is not None:
today_discharge_energy_value = row[0]
cursor_energy.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s ",
(charge_meter_id,))
row = cursor_energy.fetchone()
if row is not None:
total_charge_energy_value = row[0]
cursor_energy.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s ",
(discharge_meter_id,))
row = cursor_energy.fetchone()
if row is not None:
total_discharge_energy_value = row[0]
# Step 4.2 query revenue indicator data
today_charge_revenue_value = Decimal(0.0)
today_discharge_revenue_value = Decimal(0.0)
total_charge_revenue_value = Decimal(0.0)
total_discharge_revenue_value = Decimal(0.0)
# query meter revenue
cursor_billing.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s ",
(charge_meter_id,
today_start_datetime_utc,
today_end_datetime_utc))
row = cursor_billing.fetchone()
if row is not None:
today_charge_revenue_value = row[0]
cursor_billing.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s ",
(discharge_meter_id,
today_start_datetime_utc,
today_end_datetime_utc))
row = cursor_billing.fetchone()
if row is not None:
today_discharge_revenue_value = row[0]
cursor_billing.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s ",
(charge_meter_id,))
row = cursor_billing.fetchone()
if row is not None:
total_charge_revenue_value = row[0]
cursor_billing.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s ",
(discharge_meter_id,))
row = cursor_billing.fetchone()
if row is not None:
total_discharge_revenue_value = row[0]
# Step 4.3 query carbon indicator data
today_charge_carbon_value = Decimal(0.0)
today_discharge_carbon_value = Decimal(0.0)
total_charge_carbon_value = Decimal(0.0)
total_discharge_carbon_value = Decimal(0.0)
# query meter carbon
cursor_carbon.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s ",
(charge_meter_id,
today_start_datetime_utc,
today_end_datetime_utc))
row = cursor_carbon.fetchone()
if row is not None:
today_charge_carbon_value = row[0]
cursor_carbon.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s ",
(discharge_meter_id,
today_start_datetime_utc,
today_end_datetime_utc))
row = cursor_carbon.fetchone()
if row is not None:
today_discharge_carbon_value = row[0]
cursor_carbon.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s ",
(charge_meter_id,))
row = cursor_carbon.fetchone()
if row is not None:
total_charge_carbon_value = row[0]
cursor_carbon.execute(" SELECT SUM(actual_value) "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s ",
(discharge_meter_id,))
row = cursor_carbon.fetchone()
if row is not None:
total_discharge_carbon_value = row[0]
################################################################################################################
# Step 5: query associated evchargers
################################################################################################################
cursor_system.execute(" SELECT p.id, me.name, p.units, p.object_type "
" FROM tbl_microgrids_evchargers me, tbl_points p "
" WHERE me.microgrid_id = %s AND me.power_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1]+'.P',
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, me.name, m.energy_category_id "
" FROM tbl_microgrids_evchargers me, tbl_meters m "
" WHERE me.microgrid_id = %s AND me.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
################################################################################################################
# Step 6: query associated generators
################################################################################################################
cursor_system.execute(" SELECT p.id, mg.name, p.units, p.object_type "
" FROM tbl_microgrids_generators mg, tbl_points p "
" WHERE mg.microgrid_id = %s AND mg.power_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1]+'.P',
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id "
" FROM tbl_microgrids_generators mg, tbl_meters m "
" WHERE mg.microgrid_id = %s AND mg.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
################################################################################################################
# Step 7: query associated grids
################################################################################################################
cursor_system.execute(" SELECT p.id, mg.name, p.units, p.object_type "
" FROM tbl_microgrids_grids mg, tbl_points p "
" WHERE mg.microgrid_id = %s AND mg.power_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1]+'.P',
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id "
" FROM tbl_microgrids_grids mg, tbl_meters m "
" WHERE mg.microgrid_id = %s AND mg.buy_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1] + '.Buy',
"energy_category_id": row_meter[2]})
cursor_system.execute(" SELECT m.id, mg.name, m.energy_category_id "
" FROM tbl_microgrids_grids mg, tbl_meters m "
" WHERE mg.microgrid_id = %s AND mg.sell_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1] + '.Sell',
"energy_category_id": row_meter[2]})
################################################################################################################
# Step 8: query associated heatpumps
################################################################################################################
cursor_system.execute(" SELECT p.id, mh.name, p.units, p.object_type "
" FROM tbl_microgrids_heatpumps mh, tbl_points p "
" WHERE mh.microgrid_id = %s AND mh.power_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1]+'.P',
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, mh.name, m.energy_category_id "
" FROM tbl_microgrids_heatpumps mh, tbl_meters m "
" WHERE mh.microgrid_id = %s AND mh.electricity_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1] + '.Electricity',
"energy_category_id": row_meter[2]})
cursor_system.execute(" SELECT m.id, mh.name, m.energy_category_id "
" FROM tbl_microgrids_heatpumps mh, tbl_meters m "
" WHERE mh.microgrid_id = %s AND mh.heat_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1] + '.Heat',
"energy_category_id": row_meter[2]})
cursor_system.execute(" SELECT m.id, mh.name, m.energy_category_id "
" FROM tbl_microgrids_heatpumps mh, tbl_meters m "
" WHERE mh.microgrid_id = %s AND mh.cooling_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1] + '.Cooling',
"energy_category_id": row_meter[2]})
################################################################################################################
# Step 9: query associated loads
################################################################################################################
cursor_system.execute(" SELECT p.id, ml.name, p.units, p.object_type "
" FROM tbl_microgrids_loads ml, tbl_points p "
" WHERE ml.microgrid_id = %s AND ml.power_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1]+'.P',
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, ml.name, m.energy_category_id "
" FROM tbl_microgrids_loads ml, tbl_meters m "
" WHERE ml.microgrid_id = %s AND ml.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
################################################################################################################
# Step 10: query associated photovoltaics
################################################################################################################
cursor_system.execute(" SELECT p.id, mp.name, p.units, p.object_type "
" FROM tbl_microgrids_photovoltaics mp, tbl_points p "
" WHERE mp.id = %s AND mp.power_point_id = p.id ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
point_list.append({"id": row_point[0],
"name": row_point[1]+'.P',
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, mp.name, m.energy_category_id "
" FROM tbl_microgrids_photovoltaics mp, tbl_meters m "
" WHERE mp.id = %s AND mp.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
################################################################################################################
# Step 11: query associated schedules
################################################################################################################
schedule_list = list()
schedule_series_data = list()
cursor_system.execute(" SELECT start_time_of_day, end_time_of_day, peak_type, power "
" FROM tbl_microgrids_schedules "
" WHERE microgrid_id = %s "
" ORDER BY start_time_of_day ",
(microgrid_id,))
rows_schedules = cursor_system.fetchall()
if rows_schedules is None or len(rows_schedules) == 0:
pass
else:
for row_schedule in rows_schedules:
start_time = row_schedule[0]
end_time = row_schedule[1]
current_time = start_time
if row_schedule[2] == 'toppeak':
peak_type = 'Top-Peak'
elif row_schedule[2] == 'onpeak':
peak_type = 'On-Peak'
elif row_schedule[2] == 'midpeak':
peak_type = 'Mid-Peak'
elif row_schedule[2] == 'offpeak':
peak_type = 'Off-Peak'
else:
peak_type = 'Unknown'
while current_time < end_time:
schedule_series_data.append(row_schedule[3])
current_time = current_time + timedelta(minutes=30)
schedule_list.append({"start_time_of_day": '0' + str(start_time) if len(str(start_time)) == 7
else str(start_time),
"end_time_of_day": '0' + str(end_time) if len(str(end_time)) == 7
else str(end_time),
"peak_type": peak_type,
"power": row_schedule[3]})
print('schedule_list:' + str(schedule_list))
################################################################################################################
# Step 12: query associated sensors
################################################################################################################
cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type "
" FROM tbl_microgrids_sensors ms, tbl_sensors_points sp, tbl_points p "
" WHERE ms.microgrid_id = %s "
" AND ms.sensor_id = sp.sensor_id "
" AND sp.point_id = p.id ",
(microgrid_id,))
rows_points = cursor_system.fetchall()
if rows_points is not None and len(rows_points) > 0:
for row_point in rows_points:
point_list.append({"id": row_point[0],
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
################################################################################################################
# Step 13: query associated meters data
################################################################################################################
timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
if config.utc_offset[0] == '-':
timezone_offset = -timezone_offset
cnx_energy = mysql.connector.connect(**config.myems_energy_db)
cursor_energy = cnx_energy.cursor()
meter_report_list = list()
for meter in meter_list:
cursor_energy.execute(" 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 ",
(meter['id'],
reporting_start_datetime_utc,
reporting_end_datetime_utc))
rows_meter_hourly = cursor_energy.fetchall()
if rows_meter_hourly is not None and len(rows_meter_hourly) > 0:
meter_report = dict()
meter_report['timestamps'] = list()
meter_report['values'] = list()
meter_report['subtotal'] = Decimal(0.0)
for row_meter_hourly in rows_meter_hourly:
current_datetime_local = row_meter_hourly[0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset)
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
actual_value = Decimal(0.0) if row_meter_hourly[1] is None else row_meter_hourly[1]
meter_report['timestamps'].append(current_datetime)
meter_report['values'].append(actual_value)
meter_report['subtotal'] += actual_value
meter_report['name'] = meter['name']
meter_report['unit_of_measure'] = \
energy_category_dict[meter['energy_category_id']]['unit_of_measure']
meter_report_list.append(meter_report)
################################################################################################################
# Step 14: query associated points data
################################################################################################################
parameters_data = dict()
parameters_data['names'] = list()
parameters_data['timestamps'] = list()
parameters_data['values'] = list()
for point in point_list:
point_values = []
point_timestamps = []
if point['object_type'] == 'ENERGY_VALUE':
query = (" SELECT utc_date_time, actual_value "
" FROM tbl_energy_value "
" WHERE point_id = %s "
" AND utc_date_time BETWEEN %s AND %s "
" ORDER BY utc_date_time ")
cursor_historical.execute(query, (point['id'],
reporting_start_datetime_utc,
reporting_end_datetime_utc))
rows = cursor_historical.fetchall()
if rows is not None and len(rows) > 0:
reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset)
current_datetime_local = reporting_start_datetime_local
while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset):
point_timestamps.append(current_datetime_local.strftime('%m-%d %H:%M'))
point_values.append(rows[0][1])
current_datetime_local += timedelta(minutes=1)
for index in range(len(rows) - 1):
while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset):
point_timestamps.append(current_datetime_local.strftime('%m-%d %H:%M'))
point_values.append(rows[index][1])
current_datetime_local += timedelta(minutes=1)
elif point['object_type'] == 'ANALOG_VALUE':
query = (" SELECT utc_date_time, actual_value "
" FROM tbl_analog_value "
" WHERE point_id = %s "
" AND utc_date_time BETWEEN %s AND %s "
" ORDER BY utc_date_time ")
cursor_historical.execute(query, (point['id'],
reporting_start_datetime_utc,
reporting_end_datetime_utc))
rows = cursor_historical.fetchall()
if rows is not None and len(rows) > 0:
reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset)
current_datetime_local = reporting_start_datetime_local
while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset):
point_timestamps.append(current_datetime_local.strftime('%m-%d %H:%M'))
point_values.append(rows[0][1])
current_datetime_local += timedelta(minutes=1)
for index in range(len(rows) - 1):
while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset):
point_timestamps.append(current_datetime_local.strftime('%m-%d %H:%M'))
point_values.append(rows[index][1])
current_datetime_local += timedelta(minutes=1)
elif point['object_type'] == 'DIGITAL_VALUE':
query = (" SELECT utc_date_time, actual_value "
" FROM tbl_digital_value "
" WHERE point_id = %s "
" AND utc_date_time BETWEEN %s AND %s "
" ORDER BY utc_date_time ")
cursor_historical.execute(query, (point['id'],
reporting_start_datetime_utc,
reporting_end_datetime_utc))
rows = cursor_historical.fetchall()
if rows is not None and len(rows) > 0:
reporting_start_datetime_local = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset)
current_datetime_local = reporting_start_datetime_local
while current_datetime_local < rows[0][0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset):
point_timestamps.append(current_datetime_local.strftime('%m-%d %H:%M'))
point_values.append(rows[0][1])
current_datetime_local += timedelta(minutes=1)
for index in range(len(rows) - 1):
while current_datetime_local < rows[index + 1][0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset):
point_timestamps.append(current_datetime_local.strftime('%m-%d %H:%M'))
point_values.append(rows[index][1])
current_datetime_local += timedelta(minutes=1)
parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')')
parameters_data['timestamps'].append(point_timestamps)
parameters_data['values'].append(point_values)
# query pcs parameters
pcs_parameters_data = dict()
pcs_parameters_data['names'] = list()
pcs_parameters_data['timestamps'] = list()
pcs_parameters_data['values'] = list()
cursor_system.execute(" SELECT run_state_point_id "
" FROM tbl_microgrids_power_conversion_systems "
" WHERE microgrid_id = %s "
" ORDER BY id "
" LIMIT 1 ",
(microgrid_id,))
row_point = cursor_system.fetchone()
if row_point is not None:
pcs_run_state_point_id = row_point[0]
point_values = []
point_timestamps = []
query = (" SELECT utc_date_time, actual_value "
" FROM tbl_digital_value "
" WHERE point_id = %s "
" AND utc_date_time BETWEEN %s AND %s "
" ORDER BY utc_date_time ")
cursor_historical.execute(query, (pcs_run_state_point_id,
reporting_start_datetime_utc,
reporting_end_datetime_utc))
rows = cursor_historical.fetchall()
if rows is not None and len(rows) > 0:
for row in rows:
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset)
current_datetime = current_datetime_local.strftime('%m-%d %H:%M')
point_timestamps.append(current_datetime)
point_values.append(row[1])
pcs_parameters_data['names'].append('RunState')
pcs_parameters_data['timestamps'].append(point_timestamps)
pcs_parameters_data['values'].append(point_values)
# query battery parameters
battery_parameters_data = dict()
battery_parameters_data['names'] = list()
battery_parameters_data['timestamps'] = list()
battery_parameters_data['values'] = list()
if battery_state_point_id is not None:
point_values = []
point_timestamps = []
query = (" SELECT utc_date_time, actual_value "
" FROM tbl_digital_value "
" WHERE point_id = %s "
" AND utc_date_time BETWEEN %s AND %s "
" ORDER BY utc_date_time ")
cursor_historical.execute(query, (battery_state_point_id,
reporting_start_datetime_utc,
reporting_end_datetime_utc))
rows = cursor_historical.fetchall()
if rows is not None and len(rows) > 0:
for row in rows:
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset)
current_datetime = current_datetime_local.strftime('%m-%d %H:%M')
point_timestamps.append(current_datetime)
point_values.append(row[1])
battery_parameters_data['names'].append('State')
battery_parameters_data['timestamps'].append(point_timestamps)
battery_parameters_data['values'].append(point_values)
if cursor_system:
cursor_system.close()
if cnx_system:
cnx_system.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.close()
################################################################################################################
# Step 15: construct the report
################################################################################################################
result = dict()
result['microgrid'] = meta_result
result['reporting_period'] = dict()
result['reporting_period']['names'] = list()
result['reporting_period']['units'] = list()
result['reporting_period']['subtotals'] = list()
result['reporting_period']['increment_rates'] = list()
result['reporting_period']['timestamps'] = list()
result['reporting_period']['values'] = list()
if meter_report_list is not None and len(meter_report_list) > 0:
for meter_report in meter_report_list:
result['reporting_period']['names'].append(meter_report['name'])
result['reporting_period']['units'].append(meter_report['unit_of_measure'])
result['reporting_period']['timestamps'].append(meter_report['timestamps'])
result['reporting_period']['values'].append(meter_report['values'])
result['reporting_period']['subtotals'].append(meter_report['subtotal'])
result['schedule'] = dict()
result['schedule']['series_data'] = schedule_series_data
result['schedule']['schedule_list'] = schedule_list
result['energy_indicators'] = dict()
result['energy_indicators']['today_charge_energy_value'] = today_charge_energy_value
result['energy_indicators']['today_discharge_energy_value'] = today_discharge_energy_value
result['energy_indicators']['total_charge_energy_value'] = total_charge_energy_value
result['energy_indicators']['total_discharge_energy_value'] = total_discharge_energy_value
result['revenue_indicators'] = dict()
result['revenue_indicators']['today_charge_revenue_value'] = today_charge_revenue_value
result['revenue_indicators']['today_discharge_revenue_value'] = today_discharge_revenue_value
result['revenue_indicators']['total_charge_revenue_value'] = total_charge_revenue_value
result['revenue_indicators']['total_discharge_revenue_value'] = total_discharge_revenue_value
result['carbon_indicators'] = dict()
result['carbon_indicators']['today_charge_carbon_value'] = today_charge_carbon_value
result['carbon_indicators']['today_discharge_carbon_value'] = today_discharge_carbon_value
result['carbon_indicators']['total_charge_carbon_value'] = total_charge_carbon_value
result['carbon_indicators']['total_discharge_carbon_value'] = total_discharge_carbon_value
result['parameters'] = {
"names": parameters_data['names'],
"timestamps": parameters_data['timestamps'],
"values": parameters_data['values']
}
result['pcs_parameters'] = {
"names": pcs_parameters_data['names'],
"timestamps": pcs_parameters_data['timestamps'],
"values": pcs_parameters_data['values']}
result['battery_parameters'] = {
"names": battery_parameters_data['names'],
"timestamps": battery_parameters_data['timestamps'],
"values": battery_parameters_data['values']}
resp.text = json.dumps(result)