import falcon import simplejson as json import mysql.connector import config from anytree import AnyNode, LevelOrderIter import excelexporters.metertracking 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: build a space tree # Step 3: query all meters in the space tree # Step 4: query start value and end value # Step 5: construct the report #################################################################################################################### @staticmethod def on_get(req, resp): print(req.params) space_id = req.params.get('spaceid') reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') ################################################################################################################ # Step 1: valid parameters ################################################################################################################ if space_id is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') else: space_id = str.strip(space_id) if not space_id.isdigit() or int(space_id) <= 0: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') else: space_id = int(space_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 if reporting_period_start_datetime_local is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_START_DATETIME") else: reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) try: reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') except ValueError: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_START_DATETIME") reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ timedelta(minutes=timezone_offset) if reporting_period_end_datetime_local is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_END_DATETIME") else: reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) try: reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') except ValueError: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_END_DATETIME") reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ timedelta(minutes=timezone_offset) if reporting_start_datetime_utc >= reporting_end_datetime_utc: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_REPORTING_PERIOD_END_DATETIME') if reporting_start_datetime_utc + timedelta(minutes=15) >= reporting_end_datetime_utc: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.THE_REPORTING_PERIOD_MUST_BE_LONGER_THAN_15_MINUTES') cnx_system_db = mysql.connector.connect(**config.myems_system_db) cursor_system_db = cnx_system_db.cursor(dictionary=True) cnx_historical = mysql.connector.connect(**config.myems_historical_db) cursor_historical = cnx_historical.cursor() cursor_system_db.execute(" SELECT name " " FROM tbl_spaces " " WHERE id = %s ", (space_id,)) row = cursor_system_db.fetchone() if row is None: if cursor_system_db: cursor_system_db.close() if cnx_system_db: cnx_system_db.disconnect() raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') else: space_name = row['name'] ################################################################################################################ # Step 2: build a space tree ################################################################################################################ query = (" SELECT id, name, parent_space_id " " FROM tbl_spaces " " ORDER BY id ") cursor_system_db.execute(query) rows_spaces = cursor_system_db.fetchall() node_dict = dict() if rows_spaces is not None and len(rows_spaces) > 0: for row in rows_spaces: parent_node = node_dict[row['parent_space_id']] if row['parent_space_id'] is not None else None node_dict[row['id']] = AnyNode(id=row['id'], parent=parent_node, name=row['name']) ################################################################################################################ # Step 3: query all meters in the space tree ################################################################################################################ meter_dict = dict() space_dict = dict() for node in LevelOrderIter(node_dict[space_id]): space_dict[node.id] = node.name cursor_system_db.execute(" SELECT m.id, m.name AS meter_name, s.name AS space_name, " " cc.name AS cost_center_name, ec.name AS energy_category_name, " " m.description " " FROM tbl_spaces s, tbl_spaces_meters sm, tbl_meters m, tbl_cost_centers cc, " " tbl_energy_categories ec " " WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") " " AND sm.space_id = s.id AND sm.meter_id = m.id " " AND m.cost_center_id = cc.id AND m.energy_category_id = ec.id ", ) rows_meters = cursor_system_db.fetchall() if rows_meters is not None and len(rows_meters) > 0: for row in rows_meters: meter_dict[row['id']] = {"meter_name": row['meter_name'], "space_name": row['space_name'], "cost_center_name": row['cost_center_name'], "energy_category_name": row['energy_category_name'], "description": row['description']} ################################################################################################################ # Step 4: query start value and end value ################################################################################################################ for meter_id in meter_dict: cursor_system_db.execute(" SELECT point_id " " FROM tbl_meters_points mp, tbl_points p" " WHERE p.id = mp.point_id AND p.object_type = 'ENERGY_VALUE' " " AND meter_id = %s ", (meter_id, )) rows_points_id = cursor_system_db.fetchall() start_value = None end_value = None if rows_points_id is not None and len(rows_points_id) > 0: query_start_value = (" SELECT actual_value " " FROM tbl_energy_value " " where point_id in (" + ', '.join(map(lambda x: str(x['point_id']), rows_points_id)) + ") " " AND utc_date_time BETWEEN %s AND %s " " order by utc_date_time ASC LIMIT 0,1") query_end_value = (" SELECT actual_value " " FROM tbl_energy_value " " where point_id in (" + ', '.join(map(lambda x: str(x['point_id']), rows_points_id)) + ") " " AND utc_date_time BETWEEN %s AND %s " " order by utc_date_time DESC LIMIT 0,1") cursor_historical.execute(query_start_value, (reporting_start_datetime_utc, (reporting_start_datetime_utc + timedelta(minutes=15)), )) row_start_value = cursor_historical.fetchone() if row_start_value is not None: start_value = row_start_value[0] cursor_historical.execute(query_end_value, ((reporting_end_datetime_utc - timedelta(minutes=15)), reporting_end_datetime_utc, )) row_end_value = cursor_historical.fetchone() if row_end_value is not None: end_value = row_end_value[0] meter_dict[meter_id]['start_value'] = start_value meter_dict[meter_id]['end_value'] = end_value if cursor_system_db: cursor_system_db.close() if cnx_system_db: cnx_system_db.disconnect() if cursor_historical: cursor_historical.close() if cnx_historical: cnx_historical.disconnect() ################################################################################################################ # Step 5: construct the report ################################################################################################################ meter_list = list() for meter_id, meter in meter_dict.items(): meter_list.append({ "id": meter_id, "meter_name": meter['meter_name'], "space_name": meter['space_name'], "cost_center_name": meter['cost_center_name'], "energy_category_name": meter['energy_category_name'], "description": meter['description'], "start_value": meter['start_value'], "end_value": meter['end_value'] }) result = {'meters': meter_list} # export result to Excel file and then encode the file to base64 string result['excel_bytes_base64'] = \ excelexporters.metertracking.export(result, space_name, reporting_period_start_datetime_local, reporting_period_end_datetime_local) resp.body = json.dumps(result)