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from datetime import datetime, timedelta, timezone |
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from decimal import Decimal |
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import falcon |
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import mysql.connector |
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import simplejson as json |
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import config |
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from core import utilities |
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from core.useractivity import access_control, api_key_control |
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View Code Duplication |
class Reporting: |
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def __init__(self): |
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"""Initializes Class""" |
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pass |
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@staticmethod |
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def on_options(req, resp): |
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_ = req |
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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: query the space |
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# Step 3: query energy categories |
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# Step 4: query sensor data |
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# Step 5: query child spaces |
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# Step 6: query base period energy input |
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# Step 7: query base period energy cost |
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# Step 8: query reporting period energy input |
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# Step 9: query reporting period energy cost |
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# Step 10: query child spaces energy input |
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# Step 10: query child spaces energy cost |
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# Step 12: 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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# todo: change this procedure from space to tenant |
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if 'API-KEY' not in req.headers or \ |
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not isinstance(req.headers['API-KEY'], str) or \ |
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len(str.strip(req.headers['API-KEY'])) == 0: |
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access_control(req) |
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else: |
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api_key_control(req) |
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user_uuid = req.params.get('useruuid') |
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period_type = req.params.get('periodtype') |
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base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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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 user_uuid is None: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') |
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else: |
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user_uuid = str.strip(user_uuid) |
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if len(user_uuid) != 36: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_USER_UUID') |
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if period_type is None: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_PERIOD_TYPE') |
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else: |
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period_type = str.strip(period_type) |
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if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_PERIOD_TYPE') |
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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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base_start_datetime_utc = None |
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if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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try: |
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base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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except ValueError: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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base_start_datetime_utc = \ |
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base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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# nomalize the start datetime |
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if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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else: |
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base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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base_end_datetime_utc = None |
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if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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try: |
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base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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except ValueError: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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base_end_datetime_utc = \ |
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base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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base_start_datetime_utc >= base_end_datetime_utc: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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if reporting_period_start_datetime_local is None: |
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raise falcon.HTTPError(status=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(status=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 = \ |
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reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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# nomalize the start datetime |
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if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
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reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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else: |
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reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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if reporting_period_end_datetime_local is None: |
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raise falcon.HTTPError(status=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').replace(tzinfo=timezone.utc) - \ |
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timedelta(minutes=timezone_offset) |
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except ValueError: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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################################################################################################################ |
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# Step 2: query the space |
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################################################################################################################ |
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cnx_user = mysql.connector.connect(**config.myems_user_db) |
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cursor_user = cnx_user.cursor() |
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cursor_user.execute(" SELECT id, is_admin, privilege_id " |
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" FROM tbl_users " |
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" WHERE uuid = %s ", (user_uuid,)) |
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row_user = cursor_user.fetchone() |
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if row_user is None: |
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if cursor_user: |
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cursor_user.close() |
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if cnx_user: |
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cnx_user.close() |
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raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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description='API.USER_NOT_FOUND') |
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user = {'id': row_user[0], 'is_admin': row_user[1], 'privilege_id': row_user[2]} |
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if user['is_admin']: |
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# todo: make sure the space id is always 1 for admin |
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space_id = 1 |
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else: |
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cursor_user.execute(" SELECT data " |
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" FROM tbl_privileges " |
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" WHERE id = %s ", (user['privilege_id'],)) |
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row_privilege = cursor_user.fetchone() |
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if row_privilege is None: |
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if cursor_user: |
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cursor_user.close() |
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if cnx_user: |
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cnx_user.close() |
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raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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description='API.USER_PRIVILEGE_NOT_FOUND') |
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privilege_data = json.loads(row_privilege[0]) |
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if 'spaces' not in privilege_data.keys() \ |
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or privilege_data['spaces'] is None \ |
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or len(privilege_data['spaces']) == 0: |
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if cursor_user: |
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cursor_user.close() |
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if cnx_user: |
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cnx_user.close() |
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raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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description='API.USER_PRIVILEGE_NOT_FOUND') |
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# todo: how to deal with multiple spaces in privilege data |
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space_id = privilege_data['spaces'][0] |
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if cursor_user: |
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cursor_user.close() |
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if cnx_user: |
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cnx_user.close() |
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cnx_system = mysql.connector.connect(**config.myems_system_db) |
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cursor_system = cnx_system.cursor() |
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cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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" FROM tbl_spaces " |
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" WHERE id = %s ", (space_id,)) |
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row_space = cursor_system.fetchone() |
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if row_space is None: |
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if cursor_system: |
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cursor_system.close() |
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if cnx_system: |
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cnx_system.close() |
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raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') |
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space = dict() |
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space['id'] = row_space[0] |
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space['name'] = row_space[1] |
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space['area'] = row_space[2] |
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space['cost_center_id'] = row_space[3] |
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################################################################################################################ |
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# Step 3: query energy categories |
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################################################################################################################ |
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cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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cursor_energy = cnx_energy.cursor() |
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cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
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cursor_billing = cnx_billing.cursor() |
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energy_category_set = set() |
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# query energy categories in base period |
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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" FROM tbl_space_input_category_hourly " |
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" WHERE space_id = %s " |
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" AND start_datetime_utc >= %s " |
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" AND start_datetime_utc < %s ", |
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(space['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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rows_energy_categories = cursor_energy.fetchall() |
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if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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for row_energy_category in rows_energy_categories: |
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energy_category_set.add(row_energy_category[0]) |
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# query energy categories in reporting period |
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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" FROM tbl_space_input_category_hourly " |
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" WHERE space_id = %s " |
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" AND start_datetime_utc >= %s " |
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" AND start_datetime_utc < %s ", |
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(space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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rows_energy_categories = cursor_energy.fetchall() |
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if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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for row_energy_category in rows_energy_categories: |
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energy_category_set.add(row_energy_category[0]) |
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# query all energy categories in base period and reporting period |
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cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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" FROM tbl_energy_categories " |
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" ORDER BY id ", ) |
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rows_energy_categories = cursor_system.fetchall() |
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if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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if cursor_system: |
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cursor_system.close() |
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if cnx_system: |
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cnx_system.close() |
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if cursor_energy: |
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cursor_energy.close() |
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if cnx_energy: |
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cnx_energy.close() |
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if cursor_billing: |
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cursor_billing.close() |
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if cnx_billing: |
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cnx_billing.close() |
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raise falcon.HTTPError(status=falcon.HTTP_404, |
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title='API.NOT_FOUND', |
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279
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description='API.ENERGY_CATEGORY_NOT_FOUND') |
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280
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energy_category_dict = dict() |
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281
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for row_energy_category in rows_energy_categories: |
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282
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if row_energy_category[0] in energy_category_set: |
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283
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energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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284
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"unit_of_measure": row_energy_category[2], |
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285
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"kgce": row_energy_category[3], |
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286
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"kgco2e": row_energy_category[4]} |
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287
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288
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################################################################################################################ |
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289
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# Step 4: query sensor data |
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290
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################################################################################################################ |
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291
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cnx_system = mysql.connector.connect(**config.myems_system_db) |
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292
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cursor_system = cnx_system.cursor() |
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293
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294
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cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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295
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cursor_historical = cnx_historical.cursor() |
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296
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297
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sensor_id_list = list() |
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298
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sensor_dict = dict() |
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299
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cursor_system.execute(" SELECT s.id, s.name, s.uuid, s.description " |
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300
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" FROM tbl_sensors s, tbl_spaces_sensors ss " |
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301
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" WHERE ss.space_id = %s " |
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302
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" AND s.id = ss.sensor_id " |
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303
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, (space['id'],)) |
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304
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rows_sensors = cursor_system.fetchall() |
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305
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if rows_sensors is not None and len(rows_sensors) > 0: |
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306
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for row in rows_sensors: |
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307
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sensor_id_list.append(row[0]) |
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308
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sensor_dict[row[0]] = dict() |
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309
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sensor_dict[row[0]]['name'] = row[1] |
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310
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sensor_dict[row[0]]['description'] = row[2] |
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311
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sensor_dict[row[0]]['uuid'] = row[3] |
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312
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sensor_dict[row[0]]['point_name_list'] = list() |
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313
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sensor_dict[row[0]]['point_unit_list'] = list() |
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314
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sensor_dict[row[0]]['point_id_list'] = list() |
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315
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if sensor_id_list is not None and len(sensor_id_list) > 0: |
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316
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cursor_system.execute(" SELECT sp.sensor_id, p.id, p.name, p.units " |
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317
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" FROM tbl_sensors_points sp, tbl_points p " |
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318
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" WHERE sp.sensor_id in ({}) " |
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319
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" AND sp.point_id = p.id " |
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320
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" ORDER BY p.id ".format(','.join("{0}".format(x) for x in sensor_id_list))) |
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321
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rows_sensor_points = cursor_system.fetchall() |
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322
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if rows_sensor_points is not None and len(rows_sensor_points) > 0: |
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323
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for row in rows_sensor_points: |
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324
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sensor_dict[row[0]]['point_id_list'].append(row[1]) |
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325
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sensor_dict[row[0]]['point_name_list'].append(row[2]) |
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326
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sensor_dict[row[0]]['point_unit_list'].append(row[3]) |
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327
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328
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point_data_dict = dict() |
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329
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for key in sensor_dict: |
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330
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if sensor_dict[key]['point_id_list'] is not None and len(sensor_dict[key]['point_id_list']) > 0: |
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331
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cursor_historical.execute(" SELECT point_id, actual_value " |
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332
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" FROM tbl_analog_value_latest " |
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333
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" WHERE point_id in ({}) " |
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334
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" ORDER BY point_id ". |
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335
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format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
336
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rows_analog_values = cursor_historical.fetchall() |
|
337
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if rows_analog_values is not None and len(rows_analog_values) > 0: |
|
338
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for row in rows_analog_values: |
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339
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point_data_dict[row[0]] = row[1] |
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340
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|
341
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cursor_historical.execute(" SELECT point_id, actual_value " |
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342
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" FROM tbl_digital_value_latest " |
|
343
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" WHERE point_id in ({}) " |
|
344
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" ORDER BY point_id ". |
|
345
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format(','.join("{0}".format(x) for x in sensor_dict[key]['point_id_list']))) |
|
346
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rows_digital_values = cursor_historical.fetchall() |
|
347
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if rows_digital_values is not None and len(rows_digital_values) > 0: |
|
348
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for row in rows_digital_values: |
|
349
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point_data_dict[row[0]] = row[1] |
|
350
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|
351
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|
################################################################################################################ |
|
352
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|
# Step 5: query child spaces |
|
353
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|
################################################################################################################ |
|
354
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|
child_space_list = list() |
|
355
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cursor_system.execute(" SELECT id, name " |
|
356
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" FROM tbl_spaces " |
|
357
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|
" WHERE parent_space_id = %s " |
|
358
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" ORDER BY id ", (space['id'], )) |
|
359
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rows_child_spaces = cursor_system.fetchall() |
|
360
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if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
|
361
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|
for row in rows_child_spaces: |
|
362
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|
child_space_list.append({"id": row[0], "name": row[1]}) |
|
363
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|
364
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|
################################################################################################################ |
|
365
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|
|
# Step 6: query base period energy input |
|
366
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|
|
################################################################################################################ |
|
367
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|
|
base_input = dict() |
|
368
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|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
369
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|
|
for energy_category_id in energy_category_set: |
|
370
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|
kgce = energy_category_dict[energy_category_id]['kgce'] |
|
371
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|
kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
372
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|
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|
|
373
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|
|
base_input[energy_category_id] = dict() |
|
374
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|
base_input[energy_category_id]['timestamps'] = list() |
|
375
|
|
|
base_input[energy_category_id]['values'] = list() |
|
376
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|
base_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
377
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|
base_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
378
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|
base_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
379
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|
|
380
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|
|
cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
381
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|
|
" FROM tbl_space_input_category_hourly " |
|
382
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|
|
" WHERE space_id = %s " |
|
383
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|
|
" AND energy_category_id = %s " |
|
384
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|
|
" AND start_datetime_utc >= %s " |
|
385
|
|
|
" AND start_datetime_utc < %s " |
|
386
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|
|
" ORDER BY start_datetime_utc ", |
|
387
|
|
|
(space['id'], |
|
388
|
|
|
energy_category_id, |
|
389
|
|
|
base_start_datetime_utc, |
|
390
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|
|
base_end_datetime_utc)) |
|
391
|
|
|
rows_space_hourly = cursor_energy.fetchall() |
|
392
|
|
|
|
|
393
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
394
|
|
|
base_start_datetime_utc, |
|
395
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|
|
base_end_datetime_utc, |
|
396
|
|
|
period_type) |
|
397
|
|
|
for row_space_periodically in rows_space_periodically: |
|
398
|
|
|
current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
399
|
|
|
timedelta(minutes=timezone_offset) |
|
400
|
|
|
if period_type == 'hourly': |
|
401
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
402
|
|
|
elif period_type == 'daily': |
|
403
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
404
|
|
|
elif period_type == 'weekly': |
|
405
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
406
|
|
|
elif period_type == 'monthly': |
|
407
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
408
|
|
|
elif period_type == 'yearly': |
|
409
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
410
|
|
|
|
|
411
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
412
|
|
|
base_input[energy_category_id]['timestamps'].append(current_datetime) |
|
|
|
|
|
|
413
|
|
|
base_input[energy_category_id]['values'].append(actual_value) |
|
414
|
|
|
base_input[energy_category_id]['subtotal'] += actual_value |
|
415
|
|
|
base_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
416
|
|
|
base_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
417
|
|
|
|
|
418
|
|
|
################################################################################################################ |
|
419
|
|
|
# Step 7: query base period energy cost |
|
420
|
|
|
################################################################################################################ |
|
421
|
|
|
base_cost = dict() |
|
422
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
423
|
|
|
for energy_category_id in energy_category_set: |
|
424
|
|
|
base_cost[energy_category_id] = dict() |
|
425
|
|
|
base_cost[energy_category_id]['timestamps'] = list() |
|
426
|
|
|
base_cost[energy_category_id]['values'] = list() |
|
427
|
|
|
base_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
428
|
|
|
|
|
429
|
|
|
cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
430
|
|
|
" FROM tbl_space_input_category_hourly " |
|
431
|
|
|
" WHERE space_id = %s " |
|
432
|
|
|
" AND energy_category_id = %s " |
|
433
|
|
|
" AND start_datetime_utc >= %s " |
|
434
|
|
|
" AND start_datetime_utc < %s " |
|
435
|
|
|
" ORDER BY start_datetime_utc ", |
|
436
|
|
|
(space['id'], |
|
437
|
|
|
energy_category_id, |
|
438
|
|
|
base_start_datetime_utc, |
|
439
|
|
|
base_end_datetime_utc)) |
|
440
|
|
|
rows_space_hourly = cursor_billing.fetchall() |
|
441
|
|
|
|
|
442
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
443
|
|
|
base_start_datetime_utc, |
|
444
|
|
|
base_end_datetime_utc, |
|
445
|
|
|
period_type) |
|
446
|
|
|
for row_space_periodically in rows_space_periodically: |
|
447
|
|
|
current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
448
|
|
|
timedelta(minutes=timezone_offset) |
|
449
|
|
|
if period_type == 'hourly': |
|
450
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
451
|
|
|
elif period_type == 'daily': |
|
452
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
453
|
|
|
elif period_type == 'weekly': |
|
454
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
455
|
|
|
elif period_type == 'monthly': |
|
456
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
457
|
|
|
elif period_type == 'yearly': |
|
458
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
459
|
|
|
|
|
460
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
461
|
|
|
base_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
462
|
|
|
base_cost[energy_category_id]['values'].append(actual_value) |
|
463
|
|
|
base_cost[energy_category_id]['subtotal'] += actual_value |
|
464
|
|
|
|
|
465
|
|
|
################################################################################################################ |
|
466
|
|
|
# Step 8: query reporting period energy input |
|
467
|
|
|
################################################################################################################ |
|
468
|
|
|
reporting_input = dict() |
|
469
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
470
|
|
|
for energy_category_id in energy_category_set: |
|
471
|
|
|
kgce = energy_category_dict[energy_category_id]['kgce'] |
|
472
|
|
|
kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
473
|
|
|
|
|
474
|
|
|
reporting_input[energy_category_id] = dict() |
|
475
|
|
|
reporting_input[energy_category_id]['timestamps'] = list() |
|
476
|
|
|
reporting_input[energy_category_id]['values'] = list() |
|
477
|
|
|
reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) |
|
478
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
479
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
480
|
|
|
reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) |
|
481
|
|
|
reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) |
|
482
|
|
|
reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) |
|
483
|
|
|
reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) |
|
484
|
|
|
reporting_input[energy_category_id]['deep'] = Decimal(0.0) |
|
485
|
|
|
|
|
486
|
|
|
cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
487
|
|
|
" FROM tbl_space_input_category_hourly " |
|
488
|
|
|
" WHERE space_id = %s " |
|
489
|
|
|
" AND energy_category_id = %s " |
|
490
|
|
|
" AND start_datetime_utc >= %s " |
|
491
|
|
|
" AND start_datetime_utc < %s " |
|
492
|
|
|
" ORDER BY start_datetime_utc ", |
|
493
|
|
|
(space['id'], |
|
494
|
|
|
energy_category_id, |
|
495
|
|
|
reporting_start_datetime_utc, |
|
496
|
|
|
reporting_end_datetime_utc)) |
|
497
|
|
|
rows_space_hourly = cursor_energy.fetchall() |
|
498
|
|
|
|
|
499
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
500
|
|
|
reporting_start_datetime_utc, |
|
501
|
|
|
reporting_end_datetime_utc, |
|
502
|
|
|
period_type) |
|
503
|
|
|
for row_space_periodically in rows_space_periodically: |
|
504
|
|
|
current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
505
|
|
|
timedelta(minutes=timezone_offset) |
|
506
|
|
|
if period_type == 'hourly': |
|
507
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
508
|
|
|
elif period_type == 'daily': |
|
509
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
510
|
|
|
elif period_type == 'weekly': |
|
511
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
512
|
|
|
elif period_type == 'monthly': |
|
513
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
514
|
|
|
elif period_type == 'yearly': |
|
515
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
516
|
|
|
|
|
517
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
518
|
|
|
reporting_input[energy_category_id]['timestamps'].append(current_datetime) |
|
519
|
|
|
reporting_input[energy_category_id]['values'].append(actual_value) |
|
520
|
|
|
reporting_input[energy_category_id]['subtotal'] += actual_value |
|
521
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
522
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
523
|
|
|
|
|
524
|
|
|
energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
525
|
|
|
energy_category_id, |
|
526
|
|
|
reporting_start_datetime_utc, |
|
527
|
|
|
reporting_end_datetime_utc) |
|
528
|
|
|
for row in rows_space_hourly: |
|
529
|
|
|
peak_type = energy_category_tariff_dict.get(row[0], None) |
|
530
|
|
|
if peak_type == 'toppeak': |
|
531
|
|
|
reporting_input[energy_category_id]['toppeak'] += row[1] |
|
532
|
|
|
elif peak_type == 'onpeak': |
|
533
|
|
|
reporting_input[energy_category_id]['onpeak'] += row[1] |
|
534
|
|
|
elif peak_type == 'midpeak': |
|
535
|
|
|
reporting_input[energy_category_id]['midpeak'] += row[1] |
|
536
|
|
|
elif peak_type == 'offpeak': |
|
537
|
|
|
reporting_input[energy_category_id]['offpeak'] += row[1] |
|
538
|
|
|
elif peak_type == 'deep': |
|
539
|
|
|
reporting_input[energy_category_id]['deep'] += row[1] |
|
540
|
|
|
|
|
541
|
|
|
################################################################################################################ |
|
542
|
|
|
# Step 9: query reporting period energy cost |
|
543
|
|
|
################################################################################################################ |
|
544
|
|
|
reporting_cost = dict() |
|
545
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
546
|
|
|
for energy_category_id in energy_category_set: |
|
547
|
|
|
|
|
548
|
|
|
reporting_cost[energy_category_id] = dict() |
|
549
|
|
|
reporting_cost[energy_category_id]['timestamps'] = list() |
|
550
|
|
|
reporting_cost[energy_category_id]['values'] = list() |
|
551
|
|
|
reporting_cost[energy_category_id]['subtotal'] = Decimal(0.0) |
|
552
|
|
|
reporting_cost[energy_category_id]['toppeak'] = Decimal(0.0) |
|
553
|
|
|
reporting_cost[energy_category_id]['onpeak'] = Decimal(0.0) |
|
554
|
|
|
reporting_cost[energy_category_id]['midpeak'] = Decimal(0.0) |
|
555
|
|
|
reporting_cost[energy_category_id]['offpeak'] = Decimal(0.0) |
|
556
|
|
|
reporting_cost[energy_category_id]['deep'] = Decimal(0.0) |
|
557
|
|
|
|
|
558
|
|
|
cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
559
|
|
|
" FROM tbl_space_input_category_hourly " |
|
560
|
|
|
" WHERE space_id = %s " |
|
561
|
|
|
" AND energy_category_id = %s " |
|
562
|
|
|
" AND start_datetime_utc >= %s " |
|
563
|
|
|
" AND start_datetime_utc < %s " |
|
564
|
|
|
" ORDER BY start_datetime_utc ", |
|
565
|
|
|
(space['id'], |
|
566
|
|
|
energy_category_id, |
|
567
|
|
|
reporting_start_datetime_utc, |
|
568
|
|
|
reporting_end_datetime_utc)) |
|
569
|
|
|
rows_space_hourly = cursor_billing.fetchall() |
|
570
|
|
|
|
|
571
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
572
|
|
|
reporting_start_datetime_utc, |
|
573
|
|
|
reporting_end_datetime_utc, |
|
574
|
|
|
period_type) |
|
575
|
|
|
for row_space_periodically in rows_space_periodically: |
|
576
|
|
|
current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
577
|
|
|
timedelta(minutes=timezone_offset) |
|
578
|
|
|
if period_type == 'hourly': |
|
579
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
580
|
|
|
elif period_type == 'daily': |
|
581
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
582
|
|
|
elif period_type == 'weekly': |
|
583
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
584
|
|
|
elif period_type == 'monthly': |
|
585
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
586
|
|
|
elif period_type == 'yearly': |
|
587
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
588
|
|
|
|
|
589
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
590
|
|
|
reporting_cost[energy_category_id]['timestamps'].append(current_datetime) |
|
591
|
|
|
reporting_cost[energy_category_id]['values'].append(actual_value) |
|
592
|
|
|
reporting_cost[energy_category_id]['subtotal'] += actual_value |
|
593
|
|
|
|
|
594
|
|
|
energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
|
595
|
|
|
energy_category_id, |
|
596
|
|
|
reporting_start_datetime_utc, |
|
597
|
|
|
reporting_end_datetime_utc) |
|
598
|
|
|
for row in rows_space_hourly: |
|
599
|
|
|
peak_type = energy_category_tariff_dict.get(row[0], None) |
|
600
|
|
|
if peak_type == 'toppeak': |
|
601
|
|
|
reporting_cost[energy_category_id]['toppeak'] += row[1] |
|
602
|
|
|
elif peak_type == 'onpeak': |
|
603
|
|
|
reporting_cost[energy_category_id]['onpeak'] += row[1] |
|
604
|
|
|
elif peak_type == 'midpeak': |
|
605
|
|
|
reporting_cost[energy_category_id]['midpeak'] += row[1] |
|
606
|
|
|
elif peak_type == 'offpeak': |
|
607
|
|
|
reporting_cost[energy_category_id]['offpeak'] += row[1] |
|
608
|
|
|
elif peak_type == 'deep': |
|
609
|
|
|
reporting_cost[energy_category_id]['deep'] += row[1] |
|
610
|
|
|
|
|
611
|
|
|
################################################################################################################ |
|
612
|
|
|
# Step 10: query child spaces energy input |
|
613
|
|
|
################################################################################################################ |
|
614
|
|
|
child_space_input = dict() |
|
615
|
|
|
|
|
616
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
617
|
|
|
for energy_category_id in energy_category_set: |
|
618
|
|
|
child_space_input[energy_category_id] = dict() |
|
619
|
|
|
child_space_input[energy_category_id]['child_space_names'] = list() |
|
620
|
|
|
child_space_input[energy_category_id]['subtotals'] = list() |
|
621
|
|
|
child_space_input[energy_category_id]['subtotals_in_kgce'] = list() |
|
622
|
|
|
child_space_input[energy_category_id]['subtotals_in_kgco2e'] = list() |
|
623
|
|
|
kgce = energy_category_dict[energy_category_id]['kgce'] |
|
624
|
|
|
kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
625
|
|
|
for child_space in child_space_list: |
|
626
|
|
|
child_space_input[energy_category_id]['child_space_names'].append(child_space['name']) |
|
627
|
|
|
subtotal = 0 |
|
628
|
|
|
subtotal_list = list() |
|
629
|
|
|
|
|
630
|
|
|
cursor_energy.execute(" SELECT start_datetime_utc, actual_value" |
|
631
|
|
|
" FROM tbl_space_input_category_hourly " |
|
632
|
|
|
" WHERE space_id = %s " |
|
633
|
|
|
" AND energy_category_id = %s " |
|
634
|
|
|
" AND start_datetime_utc >= %s " |
|
635
|
|
|
" AND start_datetime_utc < %s " |
|
636
|
|
|
" ORDER BY start_datetime_utc ", |
|
637
|
|
|
(child_space['id'], |
|
638
|
|
|
energy_category_id, |
|
639
|
|
|
reporting_start_datetime_utc, |
|
640
|
|
|
reporting_end_datetime_utc)) |
|
641
|
|
|
row_subtotal = cursor_energy.fetchall() |
|
642
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
643
|
|
|
reporting_start_datetime_utc, |
|
644
|
|
|
reporting_end_datetime_utc, |
|
645
|
|
|
period_type) |
|
646
|
|
|
|
|
647
|
|
|
for row_space_periodically in rows_space_periodically: |
|
648
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
649
|
|
|
subtotal_list.append(actual_value) |
|
650
|
|
|
subtotal += actual_value |
|
651
|
|
|
|
|
652
|
|
|
child_space_input[energy_category_id]['subtotals'].append(subtotal_list) |
|
653
|
|
|
child_space_input[energy_category_id]['subtotals_in_kgce'].append(subtotal * kgce) |
|
654
|
|
|
child_space_input[energy_category_id]['subtotals_in_kgco2e'].append(subtotal * kgco2e) |
|
655
|
|
|
|
|
656
|
|
|
################################################################################################################ |
|
657
|
|
|
# Step 10: query child spaces energy cost |
|
658
|
|
|
################################################################################################################ |
|
659
|
|
|
child_space_cost = dict() |
|
660
|
|
|
|
|
661
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
662
|
|
|
for energy_category_id in energy_category_set: |
|
663
|
|
|
child_space_cost[energy_category_id] = dict() |
|
664
|
|
|
child_space_cost[energy_category_id]['child_space_names'] = list() |
|
665
|
|
|
child_space_cost[energy_category_id]['subtotals'] = list() |
|
666
|
|
|
for child_space in child_space_list: |
|
667
|
|
|
child_space_cost[energy_category_id]['child_space_names'].append(child_space['name']) |
|
668
|
|
|
subtotal_list = list() |
|
669
|
|
|
|
|
670
|
|
|
cursor_billing.execute(" SELECT start_datetime_utc, actual_value" |
|
671
|
|
|
" FROM tbl_space_input_category_hourly " |
|
672
|
|
|
" WHERE space_id = %s " |
|
673
|
|
|
" AND energy_category_id = %s " |
|
674
|
|
|
" AND start_datetime_utc >= %s " |
|
675
|
|
|
" AND start_datetime_utc < %s " |
|
676
|
|
|
" ORDER BY start_datetime_utc ", |
|
677
|
|
|
(child_space['id'], |
|
678
|
|
|
energy_category_id, |
|
679
|
|
|
reporting_start_datetime_utc, |
|
680
|
|
|
reporting_end_datetime_utc)) |
|
681
|
|
|
row_subtotal = cursor_billing.fetchall() |
|
682
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(row_subtotal, |
|
683
|
|
|
reporting_start_datetime_utc, |
|
684
|
|
|
reporting_end_datetime_utc, |
|
685
|
|
|
period_type) |
|
686
|
|
|
|
|
687
|
|
|
for row_space_periodically in rows_space_periodically: |
|
688
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
689
|
|
|
subtotal_list.append(actual_value) |
|
690
|
|
|
|
|
691
|
|
|
child_space_cost[energy_category_id]['subtotals'].append(subtotal_list) |
|
692
|
|
|
|
|
693
|
|
|
################################################################################################################ |
|
694
|
|
|
# Step 12: construct the report |
|
695
|
|
|
################################################################################################################ |
|
696
|
|
|
if cursor_system: |
|
697
|
|
|
cursor_system.close() |
|
698
|
|
|
if cnx_system: |
|
699
|
|
|
cnx_system.close() |
|
700
|
|
|
|
|
701
|
|
|
if cursor_energy: |
|
702
|
|
|
cursor_energy.close() |
|
703
|
|
|
if cnx_energy: |
|
704
|
|
|
cnx_energy.close() |
|
705
|
|
|
|
|
706
|
|
|
if cursor_billing: |
|
707
|
|
|
cursor_billing.close() |
|
708
|
|
|
if cnx_billing: |
|
709
|
|
|
cnx_billing.close() |
|
710
|
|
|
|
|
711
|
|
|
result = dict() |
|
712
|
|
|
|
|
713
|
|
|
result['space'] = dict() |
|
714
|
|
|
result['space']['name'] = space['name'] |
|
715
|
|
|
result['space']['area'] = space['area'] |
|
716
|
|
|
|
|
717
|
|
|
result['base_period_input'] = dict() |
|
718
|
|
|
result['base_period_input']['names'] = list() |
|
719
|
|
|
result['base_period_input']['units'] = list() |
|
720
|
|
|
result['base_period_input']['timestamps'] = list() |
|
721
|
|
|
result['base_period_input']['values'] = list() |
|
722
|
|
|
result['base_period_input']['subtotals'] = list() |
|
723
|
|
|
result['base_period_input']['subtotals_in_kgce'] = list() |
|
724
|
|
|
result['base_period_input']['subtotals_in_kgco2e'] = list() |
|
725
|
|
|
result['base_period_input']['subtotals_per_unit_area'] = list() |
|
726
|
|
|
result['base_period_input']['total_in_kgce'] = Decimal(0.0) |
|
727
|
|
|
result['base_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
728
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
729
|
|
|
for energy_category_id in energy_category_set: |
|
730
|
|
|
result['base_period_input']['names'].append( |
|
731
|
|
|
energy_category_dict[energy_category_id]['name']) |
|
732
|
|
|
result['base_period_input']['units'].append( |
|
733
|
|
|
energy_category_dict[energy_category_id]['unit_of_measure']) |
|
734
|
|
|
result['base_period_input']['timestamps'].append( |
|
735
|
|
|
base_input[energy_category_id]['timestamps']) |
|
736
|
|
|
result['base_period_input']['values'].append( |
|
737
|
|
|
base_input[energy_category_id]['values']) |
|
738
|
|
|
result['base_period_input']['subtotals'].append( |
|
739
|
|
|
base_input[energy_category_id]['subtotal']) |
|
740
|
|
|
result['base_period_input']['subtotals_in_kgce'].append( |
|
741
|
|
|
base_input[energy_category_id]['subtotal_in_kgce']) |
|
742
|
|
|
result['base_period_input']['subtotals_in_kgco2e'].append( |
|
743
|
|
|
base_input[energy_category_id]['subtotal_in_kgco2e']) |
|
744
|
|
|
result['base_period_input']['subtotals_per_unit_area'].append( |
|
745
|
|
|
base_input[energy_category_id]['subtotal'] / space['area'] |
|
746
|
|
|
if space['area'] > 0.0 else None) |
|
747
|
|
|
result['base_period_input']['total_in_kgce'] += \ |
|
748
|
|
|
base_input[energy_category_id]['subtotal_in_kgce'] |
|
749
|
|
|
result['base_period_input']['total_in_kgco2e'] += \ |
|
750
|
|
|
base_input[energy_category_id]['subtotal_in_kgco2e'] |
|
751
|
|
|
|
|
752
|
|
|
result['sensor'] = dict() |
|
753
|
|
|
result['point'] = dict() |
|
754
|
|
|
result['sensor'] = sensor_dict |
|
755
|
|
|
result['point'] = point_data_dict |
|
756
|
|
|
|
|
757
|
|
|
result['base_period_cost'] = dict() |
|
758
|
|
|
result['base_period_cost']['names'] = list() |
|
759
|
|
|
result['base_period_cost']['units'] = list() |
|
760
|
|
|
result['base_period_cost']['timestamps'] = list() |
|
761
|
|
|
result['base_period_cost']['values'] = list() |
|
762
|
|
|
result['base_period_cost']['subtotals'] = list() |
|
763
|
|
|
result['base_period_cost']['subtotals_per_unit_area'] = list() |
|
764
|
|
|
result['base_period_cost']['total'] = Decimal(0.0) |
|
765
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
766
|
|
|
for energy_category_id in energy_category_set: |
|
767
|
|
|
result['base_period_cost']['names'].append( |
|
768
|
|
|
energy_category_dict[energy_category_id]['name']) |
|
769
|
|
|
result['base_period_cost']['units'].append(config.currency_unit) |
|
770
|
|
|
result['base_period_cost']['timestamps'].append( |
|
771
|
|
|
base_cost[energy_category_id]['timestamps']) |
|
772
|
|
|
result['base_period_cost']['values'].append( |
|
773
|
|
|
base_cost[energy_category_id]['values']) |
|
774
|
|
|
result['base_period_cost']['subtotals'].append( |
|
775
|
|
|
base_cost[energy_category_id]['subtotal']) |
|
776
|
|
|
result['base_period_cost']['subtotals_per_unit_area'].append( |
|
777
|
|
|
base_cost[energy_category_id]['subtotal'] / space['area'] |
|
778
|
|
|
if space['area'] > 0.0 else None) |
|
779
|
|
|
result['base_period_cost']['total'] += base_cost[energy_category_id]['subtotal'] |
|
780
|
|
|
|
|
781
|
|
|
result['reporting_period_input'] = dict() |
|
782
|
|
|
result['reporting_period_input']['names'] = list() |
|
783
|
|
|
result['reporting_period_input']['energy_category_ids'] = list() |
|
784
|
|
|
result['reporting_period_input']['units'] = list() |
|
785
|
|
|
result['reporting_period_input']['timestamps'] = list() |
|
786
|
|
|
result['reporting_period_input']['values'] = list() |
|
787
|
|
|
result['reporting_period_input']['subtotals'] = list() |
|
788
|
|
|
result['reporting_period_input']['subtotals_in_kgce'] = list() |
|
789
|
|
|
result['reporting_period_input']['subtotals_in_kgco2e'] = list() |
|
790
|
|
|
result['reporting_period_input']['subtotals_per_unit_area'] = list() |
|
791
|
|
|
result['reporting_period_input']['toppeaks'] = list() |
|
792
|
|
|
result['reporting_period_input']['onpeaks'] = list() |
|
793
|
|
|
result['reporting_period_input']['midpeaks'] = list() |
|
794
|
|
|
result['reporting_period_input']['offpeaks'] = list() |
|
795
|
|
|
result['reporting_period_input']['deeps'] = list() |
|
796
|
|
|
result['reporting_period_input']['increment_rates'] = list() |
|
797
|
|
|
result['reporting_period_input']['total_in_kgce'] = Decimal(0.0) |
|
798
|
|
|
result['reporting_period_input']['total_in_kgco2e'] = Decimal(0.0) |
|
799
|
|
|
result['reporting_period_input']['increment_rate_in_kgce'] = Decimal(0.0) |
|
800
|
|
|
result['reporting_period_input']['increment_rate_in_kgco2e'] = Decimal(0.0) |
|
801
|
|
|
|
|
802
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
803
|
|
|
for energy_category_id in energy_category_set: |
|
804
|
|
|
result['reporting_period_input']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
805
|
|
|
result['reporting_period_input']['energy_category_ids'].append(energy_category_id) |
|
806
|
|
|
result['reporting_period_input']['units'].append( |
|
807
|
|
|
energy_category_dict[energy_category_id]['unit_of_measure']) |
|
808
|
|
|
result['reporting_period_input']['timestamps'].append( |
|
809
|
|
|
reporting_input[energy_category_id]['timestamps']) |
|
810
|
|
|
result['reporting_period_input']['values'].append( |
|
811
|
|
|
reporting_input[energy_category_id]['values']) |
|
812
|
|
|
result['reporting_period_input']['subtotals'].append( |
|
813
|
|
|
reporting_input[energy_category_id]['subtotal']) |
|
814
|
|
|
result['reporting_period_input']['subtotals_in_kgce'].append( |
|
815
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgce']) |
|
816
|
|
|
result['reporting_period_input']['subtotals_in_kgco2e'].append( |
|
817
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgco2e']) |
|
818
|
|
|
result['reporting_period_input']['subtotals_per_unit_area'].append( |
|
819
|
|
|
reporting_input[energy_category_id]['subtotal'] / space['area'] |
|
820
|
|
|
if space['area'] > 0.0 else None) |
|
821
|
|
|
result['reporting_period_input']['toppeaks'].append( |
|
822
|
|
|
reporting_input[energy_category_id]['toppeak']) |
|
823
|
|
|
result['reporting_period_input']['onpeaks'].append( |
|
824
|
|
|
reporting_input[energy_category_id]['onpeak']) |
|
825
|
|
|
result['reporting_period_input']['midpeaks'].append( |
|
826
|
|
|
reporting_input[energy_category_id]['midpeak']) |
|
827
|
|
|
result['reporting_period_input']['offpeaks'].append( |
|
828
|
|
|
reporting_input[energy_category_id]['offpeak']) |
|
829
|
|
|
result['reporting_period_input']['deeps'].append( |
|
830
|
|
|
reporting_input[energy_category_id]['deep']) |
|
831
|
|
|
result['reporting_period_input']['increment_rates'].append( |
|
832
|
|
|
(reporting_input[energy_category_id]['subtotal'] - |
|
833
|
|
|
base_input[energy_category_id]['subtotal']) / |
|
834
|
|
|
base_input[energy_category_id]['subtotal'] |
|
835
|
|
|
if base_input[energy_category_id]['subtotal'] > 0.0 else None) |
|
836
|
|
|
result['reporting_period_input']['total_in_kgce'] += \ |
|
837
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgce'] |
|
838
|
|
|
result['reporting_period_input']['total_in_kgco2e'] += \ |
|
839
|
|
|
reporting_input[energy_category_id]['subtotal_in_kgco2e'] |
|
840
|
|
|
|
|
841
|
|
|
result['reporting_period_input']['total_in_kgco2e_per_unit_area'] = \ |
|
842
|
|
|
result['reporting_period_input']['total_in_kgce'] / space['area'] if space['area'] > 0.0 else None |
|
843
|
|
|
|
|
844
|
|
|
result['reporting_period_input']['increment_rate_in_kgce'] = \ |
|
845
|
|
|
(result['reporting_period_input']['total_in_kgce'] - result['base_period_input']['total_in_kgce']) / \ |
|
846
|
|
|
result['base_period_input']['total_in_kgce'] \ |
|
847
|
|
|
if result['base_period_input']['total_in_kgce'] > Decimal(0.0) else None |
|
848
|
|
|
|
|
849
|
|
|
result['reporting_period_input']['total_in_kgce_per_unit_area'] = \ |
|
850
|
|
|
result['reporting_period_input']['total_in_kgco2e'] / space['area'] if space['area'] > 0.0 else None |
|
851
|
|
|
|
|
852
|
|
|
result['reporting_period_input']['increment_rate_in_kgco2e'] = \ |
|
853
|
|
|
(result['reporting_period_input']['total_in_kgco2e'] - result['base_period_input']['total_in_kgco2e']) / \ |
|
854
|
|
|
result['base_period_input']['total_in_kgco2e'] \ |
|
855
|
|
|
if result['base_period_input']['total_in_kgco2e'] > Decimal(0.0) else None |
|
856
|
|
|
|
|
857
|
|
|
result['reporting_period_cost'] = dict() |
|
858
|
|
|
result['reporting_period_cost']['names'] = list() |
|
859
|
|
|
result['reporting_period_cost']['energy_category_ids'] = list() |
|
860
|
|
|
result['reporting_period_cost']['units'] = list() |
|
861
|
|
|
result['reporting_period_cost']['timestamps'] = list() |
|
862
|
|
|
result['reporting_period_cost']['values'] = list() |
|
863
|
|
|
result['reporting_period_cost']['subtotals'] = list() |
|
864
|
|
|
result['reporting_period_cost']['subtotals_per_unit_area'] = list() |
|
865
|
|
|
result['reporting_period_cost']['toppeaks'] = list() |
|
866
|
|
|
result['reporting_period_cost']['onpeaks'] = list() |
|
867
|
|
|
result['reporting_period_cost']['midpeaks'] = list() |
|
868
|
|
|
result['reporting_period_cost']['offpeaks'] = list() |
|
869
|
|
|
result['reporting_period_cost']['deeps'] = list() |
|
870
|
|
|
result['reporting_period_cost']['increment_rates'] = list() |
|
871
|
|
|
result['reporting_period_cost']['total'] = Decimal(0.0) |
|
872
|
|
|
result['reporting_period_cost']['total_per_unit_area'] = Decimal(0.0) |
|
873
|
|
|
result['reporting_period_cost']['total_increment_rate'] = Decimal(0.0) |
|
874
|
|
|
result['reporting_period_cost']['total_unit'] = config.currency_unit |
|
875
|
|
|
|
|
876
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
877
|
|
|
for energy_category_id in energy_category_set: |
|
878
|
|
|
result['reporting_period_cost']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
879
|
|
|
result['reporting_period_cost']['energy_category_ids'].append(energy_category_id) |
|
880
|
|
|
result['reporting_period_cost']['units'].append(config.currency_unit) |
|
881
|
|
|
result['reporting_period_cost']['timestamps'].append( |
|
882
|
|
|
reporting_cost[energy_category_id]['timestamps']) |
|
883
|
|
|
result['reporting_period_cost']['values'].append( |
|
884
|
|
|
reporting_cost[energy_category_id]['values']) |
|
885
|
|
|
result['reporting_period_cost']['subtotals'].append( |
|
886
|
|
|
reporting_cost[energy_category_id]['subtotal']) |
|
887
|
|
|
result['reporting_period_cost']['subtotals_per_unit_area'].append( |
|
888
|
|
|
reporting_cost[energy_category_id]['subtotal'] / space['area'] |
|
889
|
|
|
if space['area'] > 0.0 else None) |
|
890
|
|
|
result['reporting_period_cost']['toppeaks'].append( |
|
891
|
|
|
reporting_cost[energy_category_id]['toppeak']) |
|
892
|
|
|
result['reporting_period_cost']['onpeaks'].append( |
|
893
|
|
|
reporting_cost[energy_category_id]['onpeak']) |
|
894
|
|
|
result['reporting_period_cost']['midpeaks'].append( |
|
895
|
|
|
reporting_cost[energy_category_id]['midpeak']) |
|
896
|
|
|
result['reporting_period_cost']['offpeaks'].append( |
|
897
|
|
|
reporting_cost[energy_category_id]['offpeak']) |
|
898
|
|
|
result['reporting_period_cost']['deeps'].append( |
|
899
|
|
|
reporting_cost[energy_category_id]['deep']) |
|
900
|
|
|
result['reporting_period_cost']['increment_rates'].append( |
|
901
|
|
|
(reporting_cost[energy_category_id]['subtotal'] - |
|
902
|
|
|
base_cost[energy_category_id]['subtotal']) / |
|
903
|
|
|
base_cost[energy_category_id]['subtotal'] |
|
904
|
|
|
if base_cost[energy_category_id]['subtotal'] > 0.0 else None) |
|
905
|
|
|
result['reporting_period_cost']['total'] += reporting_cost[energy_category_id]['subtotal'] |
|
906
|
|
|
result['reporting_period_cost']['total_per_unit_area'] = \ |
|
907
|
|
|
result['reporting_period_cost']['total'] / space['area'] if space['area'] > 0.0 else None |
|
908
|
|
|
|
|
909
|
|
|
result['reporting_period_cost']['total_increment_rate'] = \ |
|
910
|
|
|
(result['reporting_period_cost']['total'] - result['base_period_cost']['total']) / \ |
|
911
|
|
|
result['reporting_period_cost']['total'] \ |
|
912
|
|
|
if result['reporting_period_cost']['total'] > Decimal(0.0) else None |
|
913
|
|
|
|
|
914
|
|
|
result['child_space_input'] = dict() |
|
915
|
|
|
result['child_space_input']['energy_category_names'] = list() # 1D array [energy category] |
|
916
|
|
|
result['child_space_input']['units'] = list() # 1D array [energy category] |
|
917
|
|
|
result['child_space_input']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
918
|
|
|
result['child_space_input']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
919
|
|
|
result['child_space_input']['subtotals_in_kgce_array'] = list() # 2D array [energy category][child space] |
|
920
|
|
|
result['child_space_input']['subtotals_in_kgco2e_array'] = list() # 2D array [energy category][child space] |
|
921
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
922
|
|
|
for energy_category_id in energy_category_set: |
|
923
|
|
|
result['child_space_input']['energy_category_names'].append( |
|
924
|
|
|
energy_category_dict[energy_category_id]['name']) |
|
925
|
|
|
result['child_space_input']['units'].append( |
|
926
|
|
|
energy_category_dict[energy_category_id]['unit_of_measure']) |
|
927
|
|
|
result['child_space_input']['child_space_names_array'].append( |
|
928
|
|
|
child_space_input[energy_category_id]['child_space_names']) |
|
929
|
|
|
result['child_space_input']['subtotals_array'].append( |
|
930
|
|
|
child_space_input[energy_category_id]['subtotals']) |
|
931
|
|
|
result['child_space_input']['subtotals_in_kgce_array'].append( |
|
932
|
|
|
child_space_input[energy_category_id]['subtotals_in_kgce']) |
|
933
|
|
|
result['child_space_input']['subtotals_in_kgco2e_array'].append( |
|
934
|
|
|
child_space_input[energy_category_id]['subtotals_in_kgco2e']) |
|
935
|
|
|
|
|
936
|
|
|
result['child_space_cost'] = dict() |
|
937
|
|
|
result['child_space_cost']['energy_category_names'] = list() # 1D array [energy category] |
|
938
|
|
|
result['child_space_cost']['units'] = list() # 1D array [energy category] |
|
939
|
|
|
result['child_space_cost']['child_space_names_array'] = list() # 2D array [energy category][child space] |
|
940
|
|
|
result['child_space_cost']['subtotals_array'] = list() # 2D array [energy category][child space] |
|
941
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
942
|
|
|
for energy_category_id in energy_category_set: |
|
943
|
|
|
result['child_space_cost']['energy_category_names'].append( |
|
944
|
|
|
energy_category_dict[energy_category_id]['name']) |
|
945
|
|
|
result['child_space_cost']['units'].append(config.currency_unit) |
|
946
|
|
|
result['child_space_cost']['child_space_names_array'].append( |
|
947
|
|
|
child_space_cost[energy_category_id]['child_space_names']) |
|
948
|
|
|
result['child_space_cost']['subtotals_array'].append( |
|
949
|
|
|
child_space_cost[energy_category_id]['subtotals']) |
|
950
|
|
|
|
|
951
|
|
|
resp.text = json.dumps(result) |
|
952
|
|
|
|
MyEMS /
myems
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