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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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class Reporting: |
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def __init__(self): |
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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 reporting period production |
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# Step 3: 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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space_id = req.params.get('spaceid') |
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product_id = req.params.get('productid') |
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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 space_id is None: |
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raise falcon.HTTPError(status=falcon.HTTP_400, |
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title='API.BAD_REQUEST', |
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description='API.INVALID_SPACE_ID') |
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if space_id is not None: |
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space_id = str.strip(space_id) |
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if not space_id.isdigit() or int(space_id) <= 0: |
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raise falcon.HTTPError(status=falcon.HTTP_400, |
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title='API.BAD_REQUEST', |
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description='API.INVALID_SPACE_ID') |
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if product_id is None: |
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raise falcon.HTTPError(status=falcon.HTTP_400, |
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title='API.BAD_REQUEST', |
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description='API.INVALID_PRODUCT_ID') |
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if product_id is not None: |
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product_id = str.strip(product_id) |
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if not product_id.isdigit() or int(product_id) <= 0: |
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raise falcon.HTTPError(status=falcon.HTTP_400, |
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title='API.BAD_REQUEST', |
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description='API.INVALID_PRODUCT_ID') |
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timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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if config.utc_offset[0] == '-': |
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timezone_offset = -timezone_offset |
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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 or 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 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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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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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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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 name, area, number_of_occupants, cost_center_id " |
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" FROM tbl_spaces " |
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" WHERE id = %s ", (space_id,)) |
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row = cursor_system.fetchone() |
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if row 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', |
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description='API.SPACE_NOT_FOUND') |
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else: |
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space_name = row[0] |
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space_area = row[1] |
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space_center_id = row[2] |
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space_number_of_occupants = row[3] |
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cnx_production = mysql.connector.connect(**config.myems_production_db) |
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cursor_production = cnx_production.cursor() |
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cursor_production.execute(" SELECT name " |
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" FROM tbl_products " |
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" WHERE id = %s ", (product_id,)) |
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row = cursor_production.fetchone() |
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if row is None: |
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if cursor_production: |
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cursor_production.close() |
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if cnx_production: |
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cnx_production.close() |
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raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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description='API.PRODUCT_NOT_FOUND') |
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else: |
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product_name = row[0] |
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################################################################################################################ |
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# Step 2: query base period production |
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################################################################################################################ |
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base_date_list = list() |
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base_daily_values = list() |
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cnx_production = mysql.connector.connect(**config.myems_production_db) |
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cursor_production = cnx_production.cursor() |
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query = (" SELECT start_datetime_utc, product_count " |
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" FROM tbl_space_hourly " |
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" WHERE space_id = %s " |
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" AND product_id = %s " |
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" AND start_datetime_utc >= %s " |
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" AND start_datetime_utc < %s " |
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" ORDER BY start_datetime_utc ") |
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cursor_production.execute(query, (space_id, |
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product_id, |
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base_start_datetime_utc, |
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base_end_datetime_utc)) |
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rows_space_production_hourly = cursor_production.fetchall() |
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start_datetime_utc = base_start_datetime_utc.replace(tzinfo=None) |
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end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=None) |
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start_datetime_local = start_datetime_utc + timedelta(hours=int(config.utc_offset[1:3])) |
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current_datetime_utc = start_datetime_local.replace(hour=0) - timedelta(hours=int(config.utc_offset[1:3])) |
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View Code Duplication |
while current_datetime_utc <= end_datetime_utc: |
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flag = True |
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subtotal = Decimal(0.0) |
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for row in rows_space_production_hourly: |
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if current_datetime_utc <= row[0] < current_datetime_utc + timedelta(days=1): |
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flag = False |
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subtotal += row[1] |
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if flag: |
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subtotal = None |
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current_datetime = start_datetime_local.isoformat()[0:10] |
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base_date_list.append(current_datetime) |
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base_daily_values.append(subtotal) |
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current_datetime_utc += timedelta(days=1) |
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start_datetime_local += timedelta(days=1) |
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################################################################################################################ |
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# Step 3: query energy categories |
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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_billing = mysql.connector.connect(**config.myems_billing_db) |
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cursor_billing = cnx_billing.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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energy_category_set = set() |
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# query energy categories in base period |
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cursor_billing.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_billing.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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261
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# query energy categories in reporting period |
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cursor_billing.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_billing.fetchall() |
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269
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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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272
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273
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# query all energy categories in base period and reporting period |
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274
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cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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275
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" FROM tbl_energy_categories " |
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276
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" ORDER BY id ", ) |
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277
|
|
|
rows_energy_categories = cursor_system.fetchall() |
|
278
|
|
|
if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
279
|
|
|
if cursor_system: |
|
280
|
|
|
cursor_system.close() |
|
281
|
|
|
if cnx_system: |
|
282
|
|
|
cnx_system.close() |
|
283
|
|
|
|
|
284
|
|
|
if cursor_billing: |
|
285
|
|
|
cursor_billing.close() |
|
286
|
|
|
if cnx_billing: |
|
287
|
|
|
cnx_billing.close() |
|
288
|
|
|
|
|
289
|
|
|
if cursor_historical: |
|
290
|
|
|
cursor_historical.close() |
|
291
|
|
|
if cnx_historical: |
|
292
|
|
|
cnx_historical.close() |
|
293
|
|
|
raise falcon.HTTPError(status=falcon.HTTP_404, |
|
294
|
|
|
title='API.NOT_FOUND', |
|
295
|
|
|
description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
296
|
|
|
energy_category_dict = dict() |
|
297
|
|
|
for row_energy_category in rows_energy_categories: |
|
298
|
|
|
if row_energy_category[0] in energy_category_set: |
|
299
|
|
|
energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
300
|
|
|
"unit_of_measure": row_energy_category[2], |
|
301
|
|
|
"kgce": row_energy_category[3], |
|
302
|
|
|
"kgco2e": row_energy_category[4]} |
|
303
|
|
|
|
|
304
|
|
|
################################################################################################################ |
|
305
|
|
|
# Step 4: query reporting period production |
|
306
|
|
|
################################################################################################################ |
|
307
|
|
|
reporting_date_list = list() |
|
308
|
|
|
reporting_daily_values = list() |
|
309
|
|
|
|
|
310
|
|
|
cnx_production = mysql.connector.connect(**config.myems_production_db) |
|
311
|
|
|
cursor_production = cnx_production.cursor() |
|
312
|
|
|
|
|
313
|
|
|
query = (" SELECT start_datetime_utc, product_count " |
|
314
|
|
|
" FROM tbl_space_hourly " |
|
315
|
|
|
" WHERE space_id = %s " |
|
316
|
|
|
" AND product_id = %s " |
|
317
|
|
|
" AND start_datetime_utc >= %s " |
|
318
|
|
|
" AND start_datetime_utc < %s " |
|
319
|
|
|
" ORDER BY start_datetime_utc ") |
|
320
|
|
|
cursor_production.execute(query, (space_id, |
|
321
|
|
|
product_id, |
|
322
|
|
|
reporting_start_datetime_utc, |
|
323
|
|
|
reporting_end_datetime_utc)) |
|
324
|
|
|
rows_space_production_hourly = cursor_production.fetchall() |
|
325
|
|
|
|
|
326
|
|
|
start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=None) |
|
327
|
|
|
end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=None) |
|
328
|
|
|
|
|
329
|
|
|
start_datetime_local = start_datetime_utc + timedelta(hours=int(config.utc_offset[1:3])) |
|
330
|
|
|
current_datetime_utc = start_datetime_local.replace(hour=0) - timedelta(hours=int(config.utc_offset[1:3])) |
|
331
|
|
|
|
|
332
|
|
View Code Duplication |
while current_datetime_utc <= end_datetime_utc: |
|
|
|
|
|
|
333
|
|
|
flag = True |
|
334
|
|
|
subtotal = Decimal(0.0) |
|
335
|
|
|
for row in rows_space_production_hourly: |
|
336
|
|
|
if current_datetime_utc <= row[0] < current_datetime_utc + timedelta(days=1): |
|
337
|
|
|
flag = False |
|
338
|
|
|
subtotal += row[1] |
|
339
|
|
|
if flag: |
|
340
|
|
|
subtotal = None |
|
341
|
|
|
current_datetime = start_datetime_local.isoformat()[0:10] |
|
342
|
|
|
|
|
343
|
|
|
reporting_date_list.append(current_datetime) |
|
344
|
|
|
reporting_daily_values.append(subtotal) |
|
345
|
|
|
current_datetime_utc += timedelta(days=1) |
|
346
|
|
|
start_datetime_local += timedelta(days=1) |
|
347
|
|
|
|
|
348
|
|
|
query = (" SELECT name, unit_of_measure, tag, standard_product_coefficient " |
|
349
|
|
|
" FROM tbl_products " |
|
350
|
|
|
" WHERE id = %s ") |
|
351
|
|
|
cursor_production.execute(query, (product_id,)) |
|
352
|
|
|
row_product = cursor_production.fetchone() |
|
353
|
|
|
product_dict = dict() |
|
354
|
|
|
product_dict['name'] = row_product[0] |
|
355
|
|
|
product_dict['unit'] = row_product[1] |
|
356
|
|
|
product_dict['tag'] = row_product[2] |
|
357
|
|
|
product_dict['coefficient'] = row_product[3] |
|
358
|
|
|
|
|
359
|
|
|
################################################################################################################ |
|
360
|
|
|
# Step 5: query base period production |
|
361
|
|
|
################################################################################################################ |
|
362
|
|
|
base_date_list = list() |
|
363
|
|
|
base_daily_values = list() |
|
364
|
|
|
|
|
365
|
|
|
cnx_production = mysql.connector.connect(**config.myems_production_db) |
|
366
|
|
|
cursor_production = cnx_production.cursor() |
|
367
|
|
|
|
|
368
|
|
|
query = (" SELECT start_datetime_utc, product_count " |
|
369
|
|
|
" FROM tbl_space_hourly " |
|
370
|
|
|
" WHERE space_id = %s " |
|
371
|
|
|
" AND product_id = %s " |
|
372
|
|
|
" AND start_datetime_utc >= %s " |
|
373
|
|
|
" AND start_datetime_utc < %s " |
|
374
|
|
|
" ORDER BY start_datetime_utc ") |
|
375
|
|
|
cursor_production.execute(query, (space_id, |
|
376
|
|
|
product_id, |
|
377
|
|
|
base_start_datetime_utc, |
|
378
|
|
|
base_end_datetime_utc)) |
|
379
|
|
|
rows_space_production_hourly = cursor_production.fetchall() |
|
380
|
|
|
start_datetime_utc = base_start_datetime_utc.replace(tzinfo=None) |
|
381
|
|
|
end_datetime_utc = base_end_datetime_utc.replace(tzinfo=None) |
|
382
|
|
|
|
|
383
|
|
|
start_datetime_local = start_datetime_utc + timedelta(hours=int(config.utc_offset[1:3])) |
|
384
|
|
|
current_datetime_utc = start_datetime_local.replace(hour=0) - timedelta(hours=int(config.utc_offset[1:3])) |
|
385
|
|
|
|
|
386
|
|
View Code Duplication |
while current_datetime_utc <= end_datetime_utc: |
|
|
|
|
|
|
387
|
|
|
flag = True |
|
388
|
|
|
subtotal = Decimal(0.0) |
|
389
|
|
|
for row in rows_space_production_hourly: |
|
390
|
|
|
if current_datetime_utc <= row[0] < current_datetime_utc + timedelta(days=1): |
|
391
|
|
|
flag = False |
|
392
|
|
|
subtotal += row[1] |
|
393
|
|
|
if flag: |
|
394
|
|
|
subtotal = None |
|
395
|
|
|
current_datetime = start_datetime_local.isoformat()[0:10] |
|
396
|
|
|
|
|
397
|
|
|
base_date_list.append(current_datetime) |
|
398
|
|
|
base_daily_values.append(subtotal) |
|
399
|
|
|
current_datetime_utc += timedelta(days=1) |
|
400
|
|
|
start_datetime_local += timedelta(days=1) |
|
401
|
|
|
|
|
402
|
|
|
################################################################################################################ |
|
403
|
|
|
# Step 6: query base period energy consumption |
|
404
|
|
|
################################################################################################################ |
|
405
|
|
|
base = dict() |
|
406
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
407
|
|
|
for energy_category_id in energy_category_set: |
|
408
|
|
|
kgce = energy_category_dict[energy_category_id]['kgce'] |
|
409
|
|
|
kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
410
|
|
|
|
|
411
|
|
|
base[energy_category_id] = dict() |
|
412
|
|
|
base[energy_category_id]['timestamps'] = list() |
|
413
|
|
|
base[energy_category_id]['values'] = list() |
|
414
|
|
|
base[energy_category_id]['subtotal'] = Decimal(0.0) |
|
415
|
|
|
base[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
416
|
|
|
base[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
417
|
|
|
|
|
418
|
|
|
cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
419
|
|
|
" FROM tbl_space_input_category_hourly " |
|
420
|
|
|
" WHERE space_id = %s " |
|
421
|
|
|
" AND energy_category_id = %s " |
|
422
|
|
|
" AND start_datetime_utc >= %s " |
|
423
|
|
|
" AND start_datetime_utc < %s " |
|
424
|
|
|
" ORDER BY start_datetime_utc ", |
|
425
|
|
|
(space_id, |
|
426
|
|
|
energy_category_id, |
|
427
|
|
|
base_start_datetime_utc, |
|
428
|
|
|
base_end_datetime_utc)) |
|
429
|
|
|
rows_space_hourly = cursor_billing.fetchall() |
|
430
|
|
|
|
|
431
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
432
|
|
|
base_start_datetime_utc, |
|
433
|
|
|
base_end_datetime_utc, |
|
434
|
|
|
period_type) |
|
435
|
|
|
for row_space_periodically in rows_space_periodically: |
|
436
|
|
|
current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
437
|
|
|
timedelta(minutes=timezone_offset) |
|
438
|
|
|
if period_type == 'hourly': |
|
439
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
440
|
|
|
elif period_type == 'daily': |
|
441
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
442
|
|
|
elif period_type == 'weekly': |
|
443
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
444
|
|
|
elif period_type == 'monthly': |
|
445
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
446
|
|
|
elif period_type == 'yearly': |
|
447
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
448
|
|
|
|
|
449
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
450
|
|
|
base[energy_category_id]['timestamps'].append(current_datetime) |
|
|
|
|
|
|
451
|
|
|
base[energy_category_id]['values'].append(actual_value) |
|
452
|
|
|
base[energy_category_id]['subtotal'] += actual_value |
|
453
|
|
|
base[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
454
|
|
|
base[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
455
|
|
|
|
|
456
|
|
|
################################################################################################################ |
|
457
|
|
|
# Step 7: query reporting period energy consumption |
|
458
|
|
|
################################################################################################################ |
|
459
|
|
|
reporting = dict() |
|
460
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
461
|
|
|
for energy_category_id in energy_category_set: |
|
462
|
|
|
kgce = energy_category_dict[energy_category_id]['kgce'] |
|
463
|
|
|
kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
464
|
|
|
|
|
465
|
|
|
reporting[energy_category_id] = dict() |
|
466
|
|
|
reporting[energy_category_id]['timestamps'] = list() |
|
467
|
|
|
reporting[energy_category_id]['values'] = list() |
|
468
|
|
|
reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
|
469
|
|
|
reporting[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
|
470
|
|
|
reporting[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
|
471
|
|
|
|
|
472
|
|
|
cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
473
|
|
|
" FROM tbl_space_input_category_hourly " |
|
474
|
|
|
" WHERE space_id = %s " |
|
475
|
|
|
" AND energy_category_id = %s " |
|
476
|
|
|
" AND start_datetime_utc >= %s " |
|
477
|
|
|
" AND start_datetime_utc < %s " |
|
478
|
|
|
" ORDER BY start_datetime_utc ", |
|
479
|
|
|
(space_id, |
|
480
|
|
|
energy_category_id, |
|
481
|
|
|
reporting_start_datetime_utc, |
|
482
|
|
|
reporting_end_datetime_utc)) |
|
483
|
|
|
rows_space_hourly = cursor_billing.fetchall() |
|
484
|
|
|
|
|
485
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
|
486
|
|
|
reporting_start_datetime_utc, |
|
487
|
|
|
reporting_end_datetime_utc, |
|
488
|
|
|
period_type) |
|
489
|
|
|
for row_space_periodically in rows_space_periodically: |
|
490
|
|
|
current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
491
|
|
|
timedelta(minutes=timezone_offset) |
|
492
|
|
|
if period_type == 'hourly': |
|
493
|
|
|
current_datetime = current_datetime_local.isoformat()[0:19] |
|
494
|
|
|
elif period_type == 'daily': |
|
495
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
496
|
|
|
elif period_type == 'weekly': |
|
497
|
|
|
current_datetime = current_datetime_local.isoformat()[0:10] |
|
498
|
|
|
elif period_type == 'monthly': |
|
499
|
|
|
current_datetime = current_datetime_local.isoformat()[0:7] |
|
500
|
|
|
elif period_type == 'yearly': |
|
501
|
|
|
current_datetime = current_datetime_local.isoformat()[0:4] |
|
502
|
|
|
|
|
503
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
|
504
|
|
|
reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
505
|
|
|
reporting[energy_category_id]['values'].append(actual_value) |
|
506
|
|
|
reporting[energy_category_id]['subtotal'] += actual_value |
|
507
|
|
|
reporting[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
|
508
|
|
|
reporting[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
|
509
|
|
|
|
|
510
|
|
|
################################################################################################################ |
|
511
|
|
|
# Step 8: construct the report |
|
512
|
|
|
################################################################################################################ |
|
513
|
|
|
if cursor_system: |
|
514
|
|
|
cursor_system.close() |
|
515
|
|
|
if cnx_system: |
|
516
|
|
|
cnx_system.disconnect() |
|
517
|
|
|
|
|
518
|
|
|
if cursor_production: |
|
519
|
|
|
cursor_production.close() |
|
520
|
|
|
if cnx_production: |
|
521
|
|
|
cnx_production.disconnect() |
|
522
|
|
|
|
|
523
|
|
|
if cursor_billing: |
|
524
|
|
|
cursor_billing.close() |
|
525
|
|
|
if cnx_billing: |
|
526
|
|
|
cnx_billing.close() |
|
527
|
|
|
|
|
528
|
|
|
if cursor_historical: |
|
529
|
|
|
cursor_historical.close() |
|
530
|
|
|
if cnx_historical: |
|
531
|
|
|
cnx_historical.close() |
|
532
|
|
|
|
|
533
|
|
|
reporting_result_values = [] |
|
534
|
|
|
base_result_values = [] |
|
535
|
|
|
result = dict() |
|
536
|
|
|
|
|
537
|
|
|
result['space'] = dict() |
|
538
|
|
|
result['space']['name'] = space_name |
|
539
|
|
|
result['space']['area'] = space_area |
|
540
|
|
|
result['space']['number_of_occupants'] = space_number_of_occupants |
|
541
|
|
|
|
|
542
|
|
|
result['base_period'] = dict() |
|
543
|
|
|
result['base_period']['names'] = list() |
|
544
|
|
|
result['base_period']['units'] = list() |
|
545
|
|
|
result['base_period']['timestamps'] = list() |
|
546
|
|
|
result['base_period']['values'] = list() |
|
547
|
|
|
result['base_period']['subtotals'] = list() |
|
548
|
|
|
result['base_period']['total'] = Decimal(0.0) |
|
549
|
|
|
result['base_period']['subtotals_in_kgce'] = list() |
|
550
|
|
|
result['base_period']['subtotals_in_kgco2e'] = list() |
|
551
|
|
|
result['base_period']['total_in_kgce'] = Decimal(0.0) |
|
552
|
|
|
result['base_period']['total_in_kgco2e'] = Decimal(0.0) |
|
553
|
|
|
|
|
554
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
555
|
|
|
for energy_category_id in energy_category_set: |
|
556
|
|
|
result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
557
|
|
|
result['base_period']['units'].append(config.currency_unit) |
|
558
|
|
|
result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
559
|
|
|
result['base_period']['values'].append(base[energy_category_id]['values']) |
|
560
|
|
|
result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
|
561
|
|
|
result['base_period']['total'] += base[energy_category_id]['subtotal'] |
|
562
|
|
|
result['base_period']['subtotals_in_kgce'].append(base[energy_category_id]['subtotal_in_kgce']) |
|
563
|
|
|
result['base_period']['subtotals_in_kgco2e'].append(base[energy_category_id]['subtotal_in_kgco2e']) |
|
564
|
|
|
result['base_period']['total_in_kgce'] += base[energy_category_id]['subtotal_in_kgce'] |
|
565
|
|
|
result['base_period']['total_in_kgco2e'] += base[energy_category_id]['subtotal_in_kgco2e'] |
|
566
|
|
|
|
|
567
|
|
|
result['reporting_period'] = dict() |
|
568
|
|
|
result['reporting_period']['names'] = list() |
|
569
|
|
|
result['reporting_period']['energy_category_ids'] = list() |
|
570
|
|
|
result['reporting_period']['units'] = list() |
|
571
|
|
|
result['reporting_period']['timestamps'] = list() |
|
572
|
|
|
result['reporting_period']['values'] = list() |
|
573
|
|
|
result['reporting_period']['subtotals'] = list() |
|
574
|
|
|
result['reporting_period']['total'] = Decimal(0.0) |
|
575
|
|
|
result['reporting_period']['subtotals_in_kgce'] = list() |
|
576
|
|
|
result['reporting_period']['subtotals_in_kgco2e'] = list() |
|
577
|
|
|
result['reporting_period']['subtotals_per_unit_area'] = list() |
|
578
|
|
|
result['reporting_period']['subtotals_per_capita'] = list() |
|
579
|
|
|
result['reporting_period']['total_in_kgce'] = Decimal(0.0) |
|
580
|
|
|
result['reporting_period']['total_in_kgco2e'] = Decimal(0.0) |
|
581
|
|
|
result['reporting_period']['total_unit'] = config.currency_unit |
|
582
|
|
|
result['reporting_period']['rates'] = list() |
|
583
|
|
|
result['reporting_period']['increment_rates'] = list() |
|
584
|
|
|
result['reporting_period']['increment_rate_in_kgce'] = Decimal(0.0) |
|
585
|
|
|
result['reporting_period']['increment_rate_in_kgco2e'] = Decimal(0.0) |
|
586
|
|
|
|
|
587
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
|
588
|
|
|
for energy_category_id in energy_category_set: |
|
589
|
|
|
result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
590
|
|
|
result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
591
|
|
|
result['reporting_period']['units'].append(config.currency_unit) |
|
592
|
|
|
result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
593
|
|
|
result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
594
|
|
|
result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
595
|
|
|
result['reporting_period']['total'] += reporting[energy_category_id]['subtotal'] |
|
596
|
|
|
result['reporting_period']['subtotals_in_kgce'].append( |
|
597
|
|
|
reporting[energy_category_id]['subtotal_in_kgce']) |
|
598
|
|
|
result['reporting_period']['subtotals_in_kgco2e'].append( |
|
599
|
|
|
reporting[energy_category_id]['subtotal_in_kgco2e']) |
|
600
|
|
|
result['reporting_period']['total_in_kgce'] += reporting[energy_category_id]['subtotal_in_kgce'] |
|
601
|
|
|
result['reporting_period']['total_in_kgco2e'] += reporting[energy_category_id]['subtotal_in_kgco2e'] |
|
602
|
|
|
result['reporting_period']['increment_rates'].append( |
|
603
|
|
|
(reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
|
604
|
|
|
base[energy_category_id]['subtotal'] |
|
605
|
|
|
if base[energy_category_id]['subtotal'] > 0.0 else None) |
|
606
|
|
|
|
|
607
|
|
|
reporting_period_total_production = 0 |
|
608
|
|
|
for date, daily_value in zip(reporting_date_list, reporting_daily_values): |
|
609
|
|
|
reporting_period_total_production += daily_value if daily_value is not None else 0 |
|
610
|
|
|
|
|
611
|
|
|
base_period_total_production = 0 |
|
612
|
|
|
for date, daily_value in zip(base_date_list, base_daily_values): |
|
613
|
|
|
base_period_total_production += daily_value if daily_value is not None else 0 |
|
614
|
|
|
|
|
615
|
|
|
result['reporting_period']['total_in_kgco2e_per_prodution'] = \ |
|
616
|
|
|
result['reporting_period']['total_in_kgce'] / reporting_period_total_production \ |
|
617
|
|
|
if reporting_period_total_production > 0.0 else None |
|
618
|
|
|
|
|
619
|
|
|
result['reporting_period']['increment_rate_in_kgce'] = \ |
|
620
|
|
|
(result['reporting_period']['total_in_kgce'] - result['base_period']['total_in_kgce']) / \ |
|
621
|
|
|
result['base_period']['total_in_kgce'] \ |
|
622
|
|
|
if result['base_period']['total_in_kgce'] > Decimal(0.0) else None |
|
623
|
|
|
|
|
624
|
|
|
result['reporting_period']['total_in_kgce_per_prodution'] = \ |
|
625
|
|
|
result['reporting_period']['total_in_kgco2e'] / reporting_period_total_production \ |
|
626
|
|
|
if reporting_period_total_production > 0.0 else None |
|
627
|
|
|
|
|
628
|
|
|
result['reporting_period']['increment_rate_in_kgco2e'] = \ |
|
629
|
|
|
(result['reporting_period']['total_in_kgco2e'] - result['base_period']['total_in_kgco2e']) / \ |
|
630
|
|
|
result['base_period']['total_in_kgco2e'] \ |
|
631
|
|
|
if result['base_period']['total_in_kgco2e'] > Decimal(0.0) else None |
|
632
|
|
|
|
|
633
|
|
|
rates = list() |
|
634
|
|
|
result['base_production'] = dict() |
|
635
|
|
|
result['base_production']['timestamps'] = base_date_list |
|
636
|
|
|
result['base_production']['values'] = base_daily_values |
|
637
|
|
|
|
|
638
|
|
|
result['reporting_production'] = dict() |
|
639
|
|
|
result['reporting_production']['timestamps'] = reporting_date_list |
|
640
|
|
|
result['reporting_production']['values'] = reporting_daily_values |
|
641
|
|
|
for base, reporting in zip(base_daily_values, reporting_daily_values): |
|
642
|
|
|
rate = (reporting - base) / base \ |
|
643
|
|
|
if reporting is not None and base is not None and base > 0 and reporting > 0 else 0 |
|
644
|
|
|
rates.append(rate) |
|
645
|
|
|
result['reporting_production']['rates'] = rates |
|
646
|
|
|
|
|
647
|
|
|
result['reporting_result_values'] = reporting_result_values |
|
648
|
|
|
result['reporting_total_production'] = reporting_period_total_production |
|
649
|
|
|
result['base_result_values'] = base_result_values |
|
650
|
|
|
result['base_total_production'] = base_period_total_production |
|
651
|
|
|
result['product'] = product_dict |
|
652
|
|
|
resp.text = json.dumps(result) |
|
653
|
|
|
|
MyEMS /
myems
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