import falcon import simplejson as json import mysql.connector import config from anytree import AnyNode, LevelOrderIter from datetime import datetime, timedelta, timezone from decimal import Decimal import excelexporters.storebatch 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 stores in the space tree # Step 4: query energy categories # Step 5: query reporting period energy input # Step 6: 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') cnx_system_db = mysql.connector.connect(**config.myems_system_db) cursor_system_db = cnx_system_db.cursor(dictionary=True) 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 stores in the space tree ################################################################################################################ store_dict = dict() space_dict = dict() for node in LevelOrderIter(node_dict[space_id]): space_dict[node.id] = node.name cursor_system_db.execute(" SELECT store.id, store.name AS store_name, s.name AS space_name, " " cc.name AS cost_center_name, store.description " " FROM tbl_spaces s, tbl_spaces_stores ss, tbl_stores store, tbl_cost_centers cc " " WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") " " AND ss.space_id = s.id AND ss.store_id = store.id " " AND store.cost_center_id = cc.id ", ) rows_stores = cursor_system_db.fetchall() if rows_stores is not None and len(rows_stores) > 0: for row in rows_stores: store_dict[row['id']] = {"store_name": row['store_name'], "space_name": row['space_name'], "cost_center_name": row['cost_center_name'], "description": row['description'], "values": list()} ################################################################################################################ # Step 4: query energy categories ################################################################################################################ cnx_energy_db = mysql.connector.connect(**config.myems_energy_db) cursor_energy_db = cnx_energy_db.cursor() # query energy categories in reporting period energy_category_set = set() cursor_energy_db.execute(" SELECT DISTINCT(energy_category_id) " " FROM tbl_store_input_category_hourly " " WHERE start_datetime_utc >= %s AND start_datetime_utc < %s ", (reporting_start_datetime_utc, reporting_end_datetime_utc)) rows_energy_categories = cursor_energy_db.fetchall() if rows_energy_categories is not None or len(rows_energy_categories) > 0: for row_energy_category in rows_energy_categories: energy_category_set.add(row_energy_category[0]) # query all energy categories cursor_system_db.execute(" SELECT id, name, unit_of_measure " " FROM tbl_energy_categories " " ORDER BY id ", ) rows_energy_categories = cursor_system_db.fetchall() if rows_energy_categories is None or len(rows_energy_categories) == 0: if cursor_system_db: cursor_system_db.close() if cnx_system_db: cnx_system_db.disconnect() if cursor_energy_db: cursor_energy_db.close() if cnx_energy_db: cnx_energy_db.disconnect() raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.ENERGY_CATEGORY_NOT_FOUND') energy_category_list = list() for row_energy_category in rows_energy_categories: if row_energy_category['id'] in energy_category_set: energy_category_list.append({"id": row_energy_category['id'], "name": row_energy_category['name'], "unit_of_measure": row_energy_category['unit_of_measure']}) ################################################################################################################ # Step 5: query reporting period energy input ################################################################################################################ for store_id in store_dict: cursor_energy_db.execute(" SELECT energy_category_id, SUM(actual_value) " " FROM tbl_store_input_category_hourly " " WHERE store_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " GROUP BY energy_category_id ", (store_id, reporting_start_datetime_utc, reporting_end_datetime_utc)) rows_store_energy = cursor_energy_db.fetchall() for energy_category in energy_category_list: subtotal = Decimal(0.0) for row_store_energy in rows_store_energy: if energy_category['id'] == row_store_energy[0]: subtotal = row_store_energy[1] break store_dict[store_id]['values'].append(subtotal) if cursor_system_db: cursor_system_db.close() if cnx_system_db: cnx_system_db.disconnect() if cursor_energy_db: cursor_energy_db.close() if cnx_energy_db: cnx_energy_db.disconnect() ################################################################################################################ # Step 6: construct the report ################################################################################################################ store_list = list() for store_id, store in store_dict.items(): store_list.append({ "id": store_id, "store_name": store['store_name'], "space_name": store['space_name'], "cost_center_name": store['cost_center_name'], "description": store['description'], "values": store['values'], }) result = {'stores': store_list, 'energycategories': energy_category_list} # export result to Excel file and then encode the file to base64 string result['excel_bytes_base64'] = excelexporters.storebatch.export(result, space_name, reporting_period_start_datetime_local, reporting_period_end_datetime_local) resp.text = json.dumps(result)