import falcon import simplejson as json import mysql.connector import config from datetime import datetime, timedelta, timezone class Reporting: @staticmethod def __init__(): """"Initializes Reporting""" pass @staticmethod def on_options(req, resp): resp.status = falcon.HTTP_200 #################################################################################################################### # PROCEDURES # Step 1: valid parameters # Step 2: query the meter and energy category # Step 3: query associated points # Step 4: query reporting period points trends # Step 5: query tariff data # Step 6: construct the report #################################################################################################################### @staticmethod def on_get(req, resp): print(req.params) meter_id = req.params.get('meterid') ################################################################################################################ # Step 1: valid parameters ################################################################################################################ if meter_id is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') else: meter_id = str.strip(meter_id) if not meter_id.isdigit() or int(meter_id) <= 0: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) if config.utc_offset[0] == '-': timezone_offset = -timezone_offset reporting_end_datetime_utc = datetime.utcnow() reporting_start_datetime_utc = reporting_end_datetime_utc - timedelta(minutes=60) ################################################################################################################ # Step 2: query the meter and energy category ################################################################################################################ cnx_system = mysql.connector.connect(**config.myems_system_db) cursor_system = cnx_system.cursor() cnx_historical = mysql.connector.connect(**config.myems_historical_db) cursor_historical = cnx_historical.cursor() cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " " ec.name, ec.unit_of_measure " " FROM tbl_meters m, tbl_energy_categories ec " " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,)) row_meter = cursor_system.fetchone() if row_meter is None: if cursor_system: cursor_system.close() if cnx_system: cnx_system.disconnect() if cursor_historical: cursor_historical.close() if cnx_historical: cnx_historical.disconnect() raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') meter = dict() meter['id'] = row_meter[0] meter['name'] = row_meter[1] meter['cost_center_id'] = row_meter[2] meter['energy_category_id'] = row_meter[3] meter['energy_category_name'] = row_meter[4] meter['unit_of_measure'] = row_meter[5] ################################################################################################################ # Step 3: query associated points ################################################################################################################ point_list = list() cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " " FROM tbl_meters m, tbl_meters_points mp, tbl_points p " " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id " " ORDER BY p.id ", (meter['id'],)) rows_points = cursor_system.fetchall() if rows_points is not None and len(rows_points) > 0: for row in rows_points: point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) ################################################################################################################ # Step 7: query associated points data ################################################################################################################ energy_value_data = dict() energy_value_data['name'] = None energy_value_data['timestamps'] = list() energy_value_data['values'] = list() 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'] == '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: for row in rows: current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') point_timestamps.append(current_datetime) point_values.append(row[1]) parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') parameters_data['timestamps'].append(point_timestamps) parameters_data['values'].append(point_values) elif point['object_type'] == 'ENERGY_VALUE': energy_value_data['name'] = point['name'] 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: for row in rows: current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') energy_value_data['timestamps'].append(current_datetime) energy_value_data['values'].append(row[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: for row in rows: current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') point_timestamps.append(current_datetime) point_values.append(row[1]) parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') parameters_data['timestamps'].append(point_timestamps) parameters_data['values'].append(point_values) ################################################################################################################ # Step 6: construct the report ################################################################################################################ if cursor_system: cursor_system.close() if cnx_system: cnx_system.disconnect() if cursor_historical: cursor_historical.close() if cnx_historical: cnx_historical.disconnect() result = { "meter": { "cost_center_id": meter['cost_center_id'], "energy_category_id": meter['energy_category_id'], "energy_category_name": meter['energy_category_name'], "unit_of_measure": meter['unit_of_measure'], }, "energy_value": energy_value_data, "parameters": { "names": parameters_data['names'], "timestamps": parameters_data['timestamps'], "values": parameters_data['values'] }, } resp.text = json.dumps(result)