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import re |
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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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import excelexporters.meterenergy |
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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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class Reporting: |
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def __init__(self): |
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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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_ = 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 meter and energy category |
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# Step 3: query associated points |
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# Step 4: query base period energy consumption |
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# Step 5: query reporting period energy consumption |
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# Step 6: query tariff data |
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# Step 7: query associated points data |
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# Step 8: 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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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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print(req.params) |
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# this procedure accepts meter id or meter uuid to identify a meter |
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meter_id = req.params.get('meterid') |
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meter_uuid = req.params.get('meteruuid') |
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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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language = req.params.get('language') |
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quick_mode = req.params.get('quickmode') |
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################################################################################################################ |
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# Step 1: valid parameters |
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################################################################################################################ |
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if meter_id is None and meter_uuid is None: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') |
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if meter_id is not None: |
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meter_id = str.strip(meter_id) |
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if not meter_id.isdigit() or int(meter_id) <= 0: |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_METER_ID') |
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if meter_uuid is not None: |
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regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
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match = regex.match(str.strip(meter_uuid)) |
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if not bool(match): |
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raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_METER_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') |
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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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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(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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# if turn quick mode on, do not return parameters data and excel file |
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is_quick_mode = False |
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if quick_mode is not None and \ |
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len(str.strip(quick_mode)) > 0 and \ |
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str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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is_quick_mode = True |
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trans = utilities.get_translation(language) |
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trans.install() |
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_ = trans.gettext |
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################################################################################################################ |
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# Step 2: query the meter and energy category |
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################################################################################################################ |
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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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cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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cursor_energy = cnx_energy.cursor() |
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cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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cursor_historical = cnx_historical.cursor() |
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if meter_id is not None: |
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cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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" FROM tbl_meters m, tbl_energy_categories ec " |
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" WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,)) |
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row_meter = cursor_system.fetchone() |
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elif meter_uuid is not None: |
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cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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" FROM tbl_meters m, tbl_energy_categories ec " |
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" WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid,)) |
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row_meter = cursor_system.fetchone() |
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191
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if row_meter 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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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_historical: |
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cursor_historical.close() |
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if cnx_historical: |
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cnx_historical.close() |
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raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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meter = dict() |
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meter['id'] = row_meter[0] |
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meter['name'] = row_meter[1] |
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meter['cost_center_id'] = row_meter[2] |
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meter['energy_category_id'] = row_meter[3] |
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meter['energy_category_name'] = row_meter[4] |
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meter['unit_of_measure'] = row_meter[5] |
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meter['kgce'] = row_meter[6] |
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216
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meter['kgco2e'] = row_meter[7] |
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218
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################################################################################################################ |
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# Step 3: query associated points |
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################################################################################################################ |
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point_list = list() |
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cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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223
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" FROM tbl_meters m, tbl_meters_points mp, tbl_points p " |
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" WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id " |
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225
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" ORDER BY p.id ", (meter['id'],)) |
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226
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rows_points = cursor_system.fetchall() |
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227
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if rows_points is not None and len(rows_points) > 0: |
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228
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for row in rows_points: |
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point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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230
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231
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################################################################################################################ |
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232
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# Step 4: query base period energy consumption |
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233
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################################################################################################################ |
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234
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cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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235
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cursor_energy = cnx_energy.cursor() |
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236
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query = (" SELECT start_datetime_utc, actual_value " |
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237
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" FROM tbl_meter_hourly " |
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238
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" WHERE meter_id = %s " |
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239
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" AND start_datetime_utc >= %s " |
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240
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" AND start_datetime_utc < %s " |
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241
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" ORDER BY start_datetime_utc ") |
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242
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cursor_energy.execute(query, (meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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243
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rows_meter_hourly = cursor_energy.fetchall() |
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244
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245
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rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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246
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base_start_datetime_utc, |
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247
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base_end_datetime_utc, |
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248
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period_type) |
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249
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base = dict() |
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250
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base['timestamps'] = list() |
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251
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base['values'] = list() |
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252
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base['total_in_category'] = Decimal(0.0) |
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253
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base['total_in_kgce'] = Decimal(0.0) |
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254
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base['total_in_kgco2e'] = Decimal(0.0) |
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255
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256
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for row_meter_periodically in rows_meter_periodically: |
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257
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current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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258
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timedelta(minutes=timezone_offset) |
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259
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if period_type == 'hourly': |
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260
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current_datetime = current_datetime_local.isoformat()[0:19] |
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261
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elif period_type == 'daily': |
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262
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current_datetime = current_datetime_local.isoformat()[0:10] |
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263
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elif period_type == 'weekly': |
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264
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current_datetime = current_datetime_local.isoformat()[0:10] |
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265
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elif period_type == 'monthly': |
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266
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current_datetime = current_datetime_local.isoformat()[0:7] |
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267
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elif period_type == 'yearly': |
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268
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current_datetime = current_datetime_local.isoformat()[0:4] |
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269
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270
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actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
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271
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base['timestamps'].append(current_datetime) |
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272
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base['values'].append(actual_value) |
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273
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base['total_in_category'] += actual_value |
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274
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base['total_in_kgce'] += actual_value * meter['kgce'] |
|
275
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base['total_in_kgco2e'] += actual_value * meter['kgco2e'] |
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276
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277
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################################################################################################################ |
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278
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# Step 5: query reporting period energy consumption |
|
279
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|
################################################################################################################ |
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280
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query = (" SELECT start_datetime_utc, actual_value " |
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281
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" FROM tbl_meter_hourly " |
|
282
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" WHERE meter_id = %s " |
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283
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" AND start_datetime_utc >= %s " |
|
284
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|
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" AND start_datetime_utc < %s " |
|
285
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|
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" ORDER BY start_datetime_utc ") |
|
286
|
|
|
cursor_energy.execute(query, (meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
287
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|
|
rows_meter_hourly = cursor_energy.fetchall() |
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288
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|
|
289
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|
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rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
|
290
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|
|
reporting_start_datetime_utc, |
|
291
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reporting_end_datetime_utc, |
|
292
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|
|
period_type) |
|
293
|
|
|
reporting = dict() |
|
294
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|
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reporting['timestamps'] = list() |
|
295
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|
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reporting['values'] = list() |
|
296
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|
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reporting['rates'] = list() |
|
297
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|
|
reporting['total_in_category'] = Decimal(0.0) |
|
298
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|
reporting['total_in_kgce'] = Decimal(0.0) |
|
299
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|
|
reporting['total_in_kgco2e'] = Decimal(0.0) |
|
300
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|
|
reporting['toppeak'] = Decimal(0.0) |
|
301
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|
|
reporting['onpeak'] = Decimal(0.0) |
|
302
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|
|
reporting['midpeak'] = Decimal(0.0) |
|
303
|
|
|
reporting['offpeak'] = Decimal(0.0) |
|
304
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|
|
reporting['deep'] = Decimal(0.0) |
|
305
|
|
|
|
|
306
|
|
|
for row_meter_periodically in rows_meter_periodically: |
|
307
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|
|
current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
308
|
|
|
timedelta(minutes=timezone_offset) |
|
309
|
|
|
if period_type == 'hourly': |
|
310
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
311
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|
|
elif period_type == 'daily': |
|
312
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
313
|
|
|
elif period_type == 'weekly': |
|
314
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
315
|
|
|
elif period_type == 'monthly': |
|
316
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
317
|
|
|
elif period_type == 'yearly': |
|
318
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
319
|
|
|
|
|
320
|
|
|
actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
|
321
|
|
|
|
|
322
|
|
|
reporting['timestamps'].append(current_datetime) |
|
323
|
|
|
reporting['values'].append(actual_value) |
|
324
|
|
|
reporting['total_in_category'] += actual_value |
|
325
|
|
|
reporting['total_in_kgce'] += actual_value * meter['kgce'] |
|
326
|
|
|
reporting['total_in_kgco2e'] += actual_value * meter['kgco2e'] |
|
327
|
|
|
|
|
328
|
|
|
for index, value in enumerate(reporting['values']): |
|
329
|
|
|
if index < len(base['values']) and base['values'][index] != 0 and value != 0: |
|
330
|
|
|
reporting['rates'].append((value - base['values'][index]) / base['values'][index]) |
|
331
|
|
|
else: |
|
332
|
|
|
reporting['rates'].append(None) |
|
333
|
|
|
|
|
334
|
|
|
energy_category_tariff_dict = utilities.get_energy_category_peak_types(meter['cost_center_id'], |
|
335
|
|
|
meter['energy_category_id'], |
|
336
|
|
|
reporting_start_datetime_utc, |
|
337
|
|
|
reporting_end_datetime_utc) |
|
338
|
|
|
for row_meter_hourly in rows_meter_hourly: |
|
339
|
|
|
peak_type = energy_category_tariff_dict.get(row_meter_hourly[0], None) |
|
340
|
|
|
if peak_type == 'toppeak': |
|
341
|
|
|
reporting['toppeak'] += row_meter_hourly[1] |
|
342
|
|
|
elif peak_type == 'onpeak': |
|
343
|
|
|
reporting['onpeak'] += row_meter_hourly[1] |
|
344
|
|
|
elif peak_type == 'midpeak': |
|
345
|
|
|
reporting['midpeak'] += row_meter_hourly[1] |
|
346
|
|
|
elif peak_type == 'offpeak': |
|
347
|
|
|
reporting['offpeak'] += row_meter_hourly[1] |
|
348
|
|
|
elif peak_type == 'deep': |
|
349
|
|
|
reporting['deep'] += row_meter_hourly[1] |
|
350
|
|
|
################################################################################################################ |
|
351
|
|
|
# Step 6: query tariff data |
|
352
|
|
|
################################################################################################################ |
|
353
|
|
|
parameters_data = dict() |
|
354
|
|
|
parameters_data['names'] = list() |
|
355
|
|
|
parameters_data['timestamps'] = list() |
|
356
|
|
|
parameters_data['values'] = list() |
|
357
|
|
|
|
|
358
|
|
|
if config.is_tariff_appended and not is_quick_mode: |
|
359
|
|
|
tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'], |
|
360
|
|
|
meter['energy_category_id'], |
|
361
|
|
|
reporting_start_datetime_utc, |
|
362
|
|
|
reporting_end_datetime_utc) |
|
363
|
|
|
tariff_timestamp_list = list() |
|
364
|
|
|
tariff_value_list = list() |
|
365
|
|
|
for k, v in tariff_dict.items(): |
|
366
|
|
|
# convert k from utc to local |
|
367
|
|
|
k = k + timedelta(minutes=timezone_offset) |
|
368
|
|
|
tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
369
|
|
|
tariff_value_list.append(v) |
|
370
|
|
|
|
|
371
|
|
|
parameters_data['names'].append(_('Tariff') + '-' + meter['energy_category_name']) |
|
372
|
|
|
parameters_data['timestamps'].append(tariff_timestamp_list) |
|
373
|
|
|
parameters_data['values'].append(tariff_value_list) |
|
374
|
|
|
|
|
375
|
|
|
################################################################################################################ |
|
376
|
|
|
# Step 7: query associated points data |
|
377
|
|
|
################################################################################################################ |
|
378
|
|
|
if not is_quick_mode: |
|
379
|
|
|
for point in point_list: |
|
380
|
|
|
point_values = [] |
|
381
|
|
|
point_timestamps = [] |
|
382
|
|
|
if point['object_type'] == 'ENERGY_VALUE': |
|
383
|
|
|
query = (" SELECT utc_date_time, actual_value " |
|
384
|
|
|
" FROM tbl_energy_value " |
|
385
|
|
|
" WHERE point_id = %s " |
|
386
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
387
|
|
|
" ORDER BY utc_date_time ") |
|
388
|
|
|
cursor_historical.execute(query, (point['id'], |
|
389
|
|
|
reporting_start_datetime_utc, |
|
390
|
|
|
reporting_end_datetime_utc)) |
|
391
|
|
|
rows = cursor_historical.fetchall() |
|
392
|
|
|
|
|
393
|
|
|
if rows is not None and len(rows) > 0: |
|
394
|
|
|
for row in rows: |
|
395
|
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
396
|
|
|
timedelta(minutes=timezone_offset) |
|
397
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
398
|
|
|
point_timestamps.append(current_datetime) |
|
399
|
|
|
point_values.append(row[1]) |
|
400
|
|
|
elif point['object_type'] == 'ANALOG_VALUE': |
|
401
|
|
|
query = (" SELECT utc_date_time, actual_value " |
|
402
|
|
|
" FROM tbl_analog_value " |
|
403
|
|
|
" WHERE point_id = %s " |
|
404
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
405
|
|
|
" ORDER BY utc_date_time ") |
|
406
|
|
|
cursor_historical.execute(query, (point['id'], |
|
407
|
|
|
reporting_start_datetime_utc, |
|
408
|
|
|
reporting_end_datetime_utc)) |
|
409
|
|
|
rows = cursor_historical.fetchall() |
|
410
|
|
|
|
|
411
|
|
|
if rows is not None and len(rows) > 0: |
|
412
|
|
|
for row in rows: |
|
413
|
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
414
|
|
|
timedelta(minutes=timezone_offset) |
|
415
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
416
|
|
|
point_timestamps.append(current_datetime) |
|
417
|
|
|
point_values.append(row[1]) |
|
418
|
|
|
elif point['object_type'] == 'DIGITAL_VALUE': |
|
419
|
|
|
query = (" SELECT utc_date_time, actual_value " |
|
420
|
|
|
" FROM tbl_digital_value " |
|
421
|
|
|
" WHERE point_id = %s " |
|
422
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
|
423
|
|
|
" ORDER BY utc_date_time ") |
|
424
|
|
|
cursor_historical.execute(query, (point['id'], |
|
425
|
|
|
reporting_start_datetime_utc, |
|
426
|
|
|
reporting_end_datetime_utc)) |
|
427
|
|
|
rows = cursor_historical.fetchall() |
|
428
|
|
|
|
|
429
|
|
|
if rows is not None and len(rows) > 0: |
|
430
|
|
|
for row in rows: |
|
431
|
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
432
|
|
|
timedelta(minutes=timezone_offset) |
|
433
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
434
|
|
|
point_timestamps.append(current_datetime) |
|
435
|
|
|
point_values.append(row[1]) |
|
436
|
|
|
|
|
437
|
|
|
parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
438
|
|
|
parameters_data['timestamps'].append(point_timestamps) |
|
439
|
|
|
parameters_data['values'].append(point_values) |
|
440
|
|
|
|
|
441
|
|
|
################################################################################################################ |
|
442
|
|
|
# Step 8: construct the report |
|
443
|
|
|
################################################################################################################ |
|
444
|
|
|
if cursor_system: |
|
445
|
|
|
cursor_system.close() |
|
446
|
|
|
if cnx_system: |
|
447
|
|
|
cnx_system.close() |
|
448
|
|
|
|
|
449
|
|
|
if cursor_energy: |
|
450
|
|
|
cursor_energy.close() |
|
451
|
|
|
if cnx_energy: |
|
452
|
|
|
cnx_energy.close() |
|
453
|
|
|
|
|
454
|
|
|
if cursor_historical: |
|
455
|
|
|
cursor_historical.close() |
|
456
|
|
|
if cnx_historical: |
|
457
|
|
|
cnx_historical.close() |
|
458
|
|
|
result = { |
|
459
|
|
|
"meter": { |
|
460
|
|
|
"cost_center_id": meter['cost_center_id'], |
|
461
|
|
|
"energy_category_id": meter['energy_category_id'], |
|
462
|
|
|
"energy_category_name": meter['energy_category_name'], |
|
463
|
|
|
"unit_of_measure": meter['unit_of_measure'], |
|
464
|
|
|
"kgce": meter['kgce'], |
|
465
|
|
|
"kgco2e": meter['kgco2e'], |
|
466
|
|
|
"name": meter['name'], |
|
467
|
|
|
"id": meter['id'], |
|
468
|
|
|
}, |
|
469
|
|
|
"base_period": { |
|
470
|
|
|
"total_in_category": base['total_in_category'], |
|
471
|
|
|
"total_in_kgce": base['total_in_kgce'], |
|
472
|
|
|
"total_in_kgco2e": base['total_in_kgco2e'], |
|
473
|
|
|
"timestamps": base['timestamps'], |
|
474
|
|
|
"values": base['values'] |
|
475
|
|
|
}, |
|
476
|
|
|
"reporting_period": { |
|
477
|
|
|
"increment_rate": |
|
478
|
|
|
(reporting['total_in_category'] - base['total_in_category']) / base['total_in_category'] |
|
479
|
|
|
if base['total_in_category'] != Decimal(0.0) else None, |
|
480
|
|
|
"total_in_category": reporting['total_in_category'], |
|
481
|
|
|
"total_in_kgce": reporting['total_in_kgce'], |
|
482
|
|
|
"total_in_kgco2e": reporting['total_in_kgco2e'], |
|
483
|
|
|
"toppeak": reporting['toppeak'], |
|
484
|
|
|
"onpeak": reporting['onpeak'], |
|
485
|
|
|
"midpeak": reporting['midpeak'], |
|
486
|
|
|
"offpeak": reporting['offpeak'], |
|
487
|
|
|
"deep": reporting['deep'], |
|
488
|
|
|
"timestamps": reporting['timestamps'], |
|
489
|
|
|
"values": reporting['values'], |
|
490
|
|
|
"rates": reporting['rates'], |
|
491
|
|
|
}, |
|
492
|
|
|
"parameters": { |
|
493
|
|
|
"names": parameters_data['names'], |
|
494
|
|
|
"timestamps": parameters_data['timestamps'], |
|
495
|
|
|
"values": parameters_data['values'] |
|
496
|
|
|
}, |
|
497
|
|
|
} |
|
498
|
|
|
# export result to Excel file and then encode the file to base64 string |
|
499
|
|
|
if not is_quick_mode: |
|
500
|
|
|
result['excel_bytes_base64'] = \ |
|
501
|
|
|
excelexporters.meterenergy.export(result, |
|
502
|
|
|
meter['name'], |
|
503
|
|
|
reporting_period_start_datetime_local, |
|
504
|
|
|
reporting_period_end_datetime_local, |
|
505
|
|
|
base_period_start_datetime_local, |
|
506
|
|
|
base_period_end_datetime_local, |
|
507
|
|
|
period_type, |
|
508
|
|
|
language) |
|
509
|
|
|
|
|
510
|
|
|
resp.text = json.dumps(result) |
|
511
|
|
|
|
MyEMS /
myems
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