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import falcon |
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import simplejson as json |
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import mysql.connector |
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import config |
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from anytree import AnyNode, LevelOrderIter |
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from datetime import datetime, timedelta, timezone |
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import excelexporters.offlinemeterbatch |
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View Code Duplication |
class Reporting: |
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@staticmethod |
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def __init__(): |
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""""Initializes Reporting""" |
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pass |
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@staticmethod |
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def on_options(req, resp): |
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resp.status = falcon.HTTP_200 |
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#################################################################################################################### |
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# PROCEDURES |
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# Step 1: valid parameters |
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# Step 2: build a space tree |
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# Step 3: query all offline meters in the space tree |
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# Step 4: query energy categories |
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# Step 5: query reporting period energy input |
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# Step 6: construct the report |
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#################################################################################################################### |
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@staticmethod |
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def on_get(req, resp): |
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print(req.params) |
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space_id = req.params.get('spaceid') |
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reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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################################################################################################################ |
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# Step 1: valid parameters |
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################################################################################################################ |
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if space_id is None: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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else: |
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space_id = str.strip(space_id) |
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if not space_id.isdigit() or int(space_id) <= 0: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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else: |
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space_id = int(space_id) |
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timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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if config.utc_offset[0] == '-': |
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timezone_offset = -timezone_offset |
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if reporting_period_start_datetime_local is None: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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else: |
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reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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try: |
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reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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'%Y-%m-%dT%H:%M:%S') |
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except ValueError: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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timedelta(minutes=timezone_offset) |
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if reporting_period_end_datetime_local is None: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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else: |
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reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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try: |
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reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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'%Y-%m-%dT%H:%M:%S') |
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except ValueError: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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timedelta(minutes=timezone_offset) |
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if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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cnx_system_db = mysql.connector.connect(**config.myems_system_db) |
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cursor_system_db = cnx_system_db.cursor() |
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cursor_system_db.execute(" SELECT name " |
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" FROM tbl_spaces " |
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" WHERE id = %s ", (space_id,)) |
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row = cursor_system_db.fetchone() |
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if row is None: |
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if cursor_system_db: |
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cursor_system_db.close() |
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if cnx_system_db: |
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cnx_system_db.close() |
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raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', |
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description='API.SPACE_NOT_FOUND') |
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else: |
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space_name = row[0] |
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################################################################################################################ |
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# Step 2: build a space tree |
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################################################################################################################ |
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query = (" SELECT id, name, parent_space_id " |
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" FROM tbl_spaces " |
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" ORDER BY id ") |
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cursor_system_db.execute(query) |
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rows_spaces = cursor_system_db.fetchall() |
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node_dict = dict() |
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if rows_spaces is not None and len(rows_spaces) > 0: |
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for row in rows_spaces: |
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parent_node = node_dict[row[2]] if row[2] is not None else None |
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node_dict[row[0]] = AnyNode(id=row[0], parent=parent_node, name=row[1]) |
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################################################################################################################ |
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# Step 3: query all offline meters in the space tree |
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################################################################################################################ |
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offline_meter_dict = dict() |
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space_dict = dict() |
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for node in LevelOrderIter(node_dict[space_id]): |
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space_dict[node.id] = node.name |
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cursor_system_db.execute(" SELECT om.id, om.name AS offline_meter_name, om.energy_category_id, " |
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" s.name AS space_name, " |
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" cc.name AS cost_center_name" |
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" FROM tbl_spaces s, tbl_spaces_offline_meters som, " |
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" tbl_offline_meters om, tbl_cost_centers cc " |
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" WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") " |
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" AND som.space_id = s.id AND som.offline_meter_id = om.id " |
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" AND om.cost_center_id = cc.id ", ) |
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rows_offline_meters = cursor_system_db.fetchall() |
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if rows_offline_meters is not None and len(rows_offline_meters) > 0: |
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for row in rows_offline_meters: |
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offline_meter_dict[row[0]] = {"offline_meter_name": row[1], |
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"energy_category_id": row[2], |
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"space_name": row[3], |
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"cost_center_name": row[4], |
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"values": list()} |
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################################################################################################################ |
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# Step 4: query energy categories |
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################################################################################################################ |
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cnx_energy_db = mysql.connector.connect(**config.myems_energy_db) |
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cursor_energy_db = cnx_energy_db.cursor() |
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# query energy categories in reporting period |
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energy_category_set = set() |
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if rows_offline_meters is not None and len(rows_offline_meters) > 0: |
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for row_offline_meter in rows_offline_meters: |
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energy_category_set.add(row_offline_meter[2]) |
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# query all energy categories |
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cursor_system_db.execute(" SELECT id, name, unit_of_measure " |
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" FROM tbl_energy_categories " |
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" ORDER BY id ", ) |
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rows_energy_categories = cursor_system_db.fetchall() |
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if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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if cursor_system_db: |
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cursor_system_db.close() |
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if cnx_system_db: |
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cnx_system_db.close() |
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if cursor_energy_db: |
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cursor_energy_db.close() |
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if cnx_energy_db: |
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cnx_energy_db.close() |
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raise falcon.HTTPError(falcon.HTTP_404, |
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title='API.NOT_FOUND', |
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description='API.ENERGY_CATEGORY_NOT_FOUND') |
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energy_category_list = list() |
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for row_energy_category in rows_energy_categories: |
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if row_energy_category[0] in energy_category_set: |
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energy_category_list.append({"id": row_energy_category[0], |
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"name": row_energy_category[1], |
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"unit_of_measure": row_energy_category[2]}) |
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################################################################################################################ |
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# Step 5: query reporting period energy input |
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################################################################################################################ |
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for offline_meter_id in offline_meter_dict: |
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cursor_energy_db.execute(" SELECT SUM(actual_value) " |
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" FROM tbl_offline_meter_hourly " |
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" WHERE offline_meter_id = %s " |
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" AND start_datetime_utc >= %s " |
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" AND start_datetime_utc < %s ", |
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(offline_meter_id, |
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reporting_start_datetime_utc, |
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reporting_end_datetime_utc)) |
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rows_offline_meter_energy = cursor_energy_db.fetchall() |
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for energy_category in energy_category_list: |
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subtotal = None |
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for row_offline_meter_energy in rows_offline_meter_energy: |
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if energy_category['id'] == offline_meter_dict[offline_meter_id]['energy_category_id']: |
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subtotal = row_offline_meter_energy[0] |
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break |
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offline_meter_dict[offline_meter_id]['values'].append(subtotal) |
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if cursor_system_db: |
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cursor_system_db.close() |
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if cnx_system_db: |
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cnx_system_db.close() |
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if cursor_energy_db: |
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cursor_energy_db.close() |
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if cnx_energy_db: |
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cnx_energy_db.close() |
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################################################################################################################ |
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# Step 6: construct the report |
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################################################################################################################ |
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offline_meter_list = list() |
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for offline_meter_id, offline_meter in offline_meter_dict.items(): |
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offline_meter_list.append({ |
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"id": offline_meter_id, |
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"offline_meter_name": offline_meter['offline_meter_name'], |
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"space_name": offline_meter['space_name'], |
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"cost_center_name": offline_meter['cost_center_name'], |
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"values": offline_meter['values'], |
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}) |
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result = {'offline_meters': offline_meter_list, |
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'energycategories': energy_category_list} |
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# export result to Excel file and then encode the file to base64 string |
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result['excel_bytes_base64'] = \ |
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excelexporters.offlinemeterbatch.export(result, |
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space_name, |
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reporting_period_start_datetime_local, |
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reporting_period_end_datetime_local) |
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resp.text = json.dumps(result) |
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