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import falcon |
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import simplejson as json |
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import mysql.connector |
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import config |
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from datetime import datetime, timedelta, timezone |
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from core import utilities |
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from decimal import Decimal |
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View Code Duplication |
class Reporting: |
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@staticmethod |
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def __init__(): |
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pass |
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@staticmethod |
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def on_options(req, resp): |
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resp.status = falcon.HTTP_200 |
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#################################################################################################################### |
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# PROCEDURES |
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# Step 1: valid parameters |
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# Step 2: query the equipment |
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# Step 3: query energy categories |
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# Step 4: query associated points |
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# Step 5: query base period energy income |
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# Step 6: query reporting period energy income |
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# Step 7: query tariff data |
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# Step 8: query associated points data |
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# Step 9: construct the report |
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#################################################################################################################### |
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@staticmethod |
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def on_get(req, resp): |
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print(req.params) |
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equipment_id = req.params.get('equipmentid') |
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period_type = req.params.get('periodtype') |
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base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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reporting_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 equipment_id is None: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_EQUIPMENT_ID') |
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else: |
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equipment_id = str.strip(equipment_id) |
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if not equipment_id.isdigit() or int(equipment_id) <= 0: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_EQUIPMENT_ID') |
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if period_type is None: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', 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', 'monthly', 'yearly']: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', 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_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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base_start_datetime_local = str.strip(base_start_datetime_local) |
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try: |
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base_start_datetime_utc = datetime.strptime(base_start_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(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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base_end_datetime_utc = None |
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if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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base_end_datetime_local = str.strip(base_end_datetime_local) |
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try: |
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base_end_datetime_utc = datetime.strptime(base_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(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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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(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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if reporting_start_datetime_local is None: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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else: |
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reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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try: |
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reporting_start_datetime_utc = datetime.strptime(reporting_start_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(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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if reporting_end_datetime_local is None: |
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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else: |
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reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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try: |
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reporting_end_datetime_utc = datetime.strptime(reporting_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(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(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 equipment |
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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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cursor_system.execute(" SELECT id, name, cost_center_id " |
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" FROM tbl_equipments " |
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" WHERE id = %s ", (equipment_id,)) |
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row_equipment = cursor_system.fetchone() |
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if row_equipment 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.disconnect() |
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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.disconnect() |
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if cnx_historical: |
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cnx_historical.close() |
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if cursor_historical: |
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cursor_historical.disconnect() |
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raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.EQUIPMENT_NOT_FOUND') |
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equipment = dict() |
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equipment['id'] = row_equipment[0] |
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equipment['name'] = row_equipment[1] |
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equipment['cost_center_id'] = row_equipment[2] |
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################################################################################################################ |
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# Step 3: query energy categories |
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################################################################################################################ |
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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_equipment_output_category_hourly " |
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" WHERE equipment_id = %s " |
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" AND start_datetime_utc >= %s " |
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" AND start_datetime_utc < %s ", |
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(equipment['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 or 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_billing.execute(" SELECT DISTINCT(energy_category_id) " |
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" FROM tbl_equipment_output_category_hourly " |
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" WHERE equipment_id = %s " |
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" AND start_datetime_utc >= %s " |
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" AND start_datetime_utc < %s ", |
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(equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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rows_energy_categories = cursor_billing.fetchall() |
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if rows_energy_categories is not None or 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.disconnect() |
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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.disconnect() |
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if cnx_historical: |
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cnx_historical.close() |
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if cursor_historical: |
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cursor_historical.disconnect() |
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raise falcon.HTTPError(falcon.HTTP_404, |
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title='API.NOT_FOUND', |
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description='API.ENERGY_CATEGORY_NOT_FOUND') |
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energy_category_dict = dict() |
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for row_energy_category in rows_energy_categories: |
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if row_energy_category[0] in energy_category_set: |
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energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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"unit_of_measure": row_energy_category[2], |
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"kgce": row_energy_category[3], |
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"kgco2e": row_energy_category[4]} |
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################################################################################################################ |
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# Step 4: 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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" FROM tbl_equipments e, tbl_equipments_parameters ep, tbl_points p " |
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" WHERE e.id = %s AND e.id = ep.equipment_id AND ep.parameter_type = 'point' " |
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" AND ep.point_id = p.id " |
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" ORDER BY p.id ", (equipment['id'],)) |
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rows_points = cursor_system.fetchall() |
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if rows_points is not None and len(rows_points) > 0: |
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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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################################################################################################################ |
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# Step 5: query base period energy income |
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################################################################################################################ |
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base = dict() |
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if energy_category_set is not None and len(energy_category_set) > 0: |
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for energy_category_id in energy_category_set: |
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base[energy_category_id] = dict() |
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base[energy_category_id]['timestamps'] = list() |
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base[energy_category_id]['values'] = list() |
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base[energy_category_id]['subtotal'] = Decimal(0.0) |
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cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
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" FROM tbl_equipment_output_category_hourly " |
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" WHERE equipment_id = %s " |
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" AND energy_category_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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(equipment['id'], |
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energy_category_id, |
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base_start_datetime_utc, |
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base_end_datetime_utc)) |
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rows_equipment_hourly = cursor_billing.fetchall() |
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rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
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base_start_datetime_utc, |
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base_end_datetime_utc, |
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period_type) |
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for row_equipment_periodically in rows_equipment_periodically: |
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current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
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timedelta(minutes=timezone_offset) |
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if period_type == 'hourly': |
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current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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elif period_type == 'daily': |
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current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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elif period_type == 'monthly': |
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current_datetime = current_datetime_local.strftime('%Y-%m') |
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elif period_type == 'yearly': |
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current_datetime = current_datetime_local.strftime('%Y') |
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actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
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else row_equipment_periodically[1] |
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base[energy_category_id]['timestamps'].append(current_datetime) |
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base[energy_category_id]['values'].append(actual_value) |
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base[energy_category_id]['subtotal'] += actual_value |
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################################################################################################################ |
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# Step 8: query reporting period energy income |
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################################################################################################################ |
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reporting = dict() |
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if energy_category_set is not None and len(energy_category_set) > 0: |
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for energy_category_id in energy_category_set: |
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reporting[energy_category_id] = dict() |
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reporting[energy_category_id]['timestamps'] = list() |
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reporting[energy_category_id]['values'] = list() |
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reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
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cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
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" FROM tbl_equipment_output_category_hourly " |
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" WHERE equipment_id = %s " |
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" AND energy_category_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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(equipment['id'], |
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energy_category_id, |
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reporting_start_datetime_utc, |
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reporting_end_datetime_utc)) |
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rows_equipment_hourly = cursor_billing.fetchall() |
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rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
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reporting_start_datetime_utc, |
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reporting_end_datetime_utc, |
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period_type) |
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for row_equipment_periodically in rows_equipment_periodically: |
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current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
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timedelta(minutes=timezone_offset) |
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if period_type == 'hourly': |
308
|
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
309
|
|
|
elif period_type == 'daily': |
310
|
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
311
|
|
|
elif period_type == 'monthly': |
312
|
|
|
current_datetime = current_datetime_local.strftime('%Y-%m') |
313
|
|
|
elif period_type == 'yearly': |
314
|
|
|
current_datetime = current_datetime_local.strftime('%Y') |
315
|
|
|
|
316
|
|
|
actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
317
|
|
|
else row_equipment_periodically[1] |
318
|
|
|
reporting[energy_category_id]['timestamps'].append(current_datetime) |
319
|
|
|
reporting[energy_category_id]['values'].append(actual_value) |
320
|
|
|
reporting[energy_category_id]['subtotal'] += actual_value |
321
|
|
|
|
322
|
|
|
################################################################################################################ |
323
|
|
|
# Step 9: query tariff data |
324
|
|
|
################################################################################################################ |
325
|
|
|
parameters_data = dict() |
326
|
|
|
parameters_data['names'] = list() |
327
|
|
|
parameters_data['timestamps'] = list() |
328
|
|
|
parameters_data['values'] = list() |
329
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
330
|
|
|
for energy_category_id in energy_category_set: |
331
|
|
|
energy_category_tariff_dict = utilities.get_energy_category_tariffs(equipment['cost_center_id'], |
332
|
|
|
energy_category_id, |
333
|
|
|
reporting_start_datetime_utc, |
334
|
|
|
reporting_end_datetime_utc) |
335
|
|
|
tariff_timestamp_list = list() |
336
|
|
|
tariff_value_list = list() |
337
|
|
|
for k, v in energy_category_tariff_dict.items(): |
338
|
|
|
# convert k from utc to local |
339
|
|
|
k = k + timedelta(minutes=timezone_offset) |
340
|
|
|
tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
341
|
|
|
tariff_value_list.append(v) |
342
|
|
|
|
343
|
|
|
parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
344
|
|
|
parameters_data['timestamps'].append(tariff_timestamp_list) |
345
|
|
|
parameters_data['values'].append(tariff_value_list) |
346
|
|
|
|
347
|
|
|
################################################################################################################ |
348
|
|
|
# Step 10: query associated points data |
349
|
|
|
################################################################################################################ |
350
|
|
|
for point in point_list: |
351
|
|
|
point_values = [] |
352
|
|
|
point_timestamps = [] |
353
|
|
|
if point['object_type'] == 'ANALOG_VALUE': |
354
|
|
|
query = (" SELECT utc_date_time, actual_value " |
355
|
|
|
" FROM tbl_analog_value " |
356
|
|
|
" WHERE point_id = %s " |
357
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
358
|
|
|
" ORDER BY utc_date_time ") |
359
|
|
|
cursor_historical.execute(query, (point['id'], |
360
|
|
|
reporting_start_datetime_utc, |
361
|
|
|
reporting_end_datetime_utc)) |
362
|
|
|
rows = cursor_historical.fetchall() |
363
|
|
|
|
364
|
|
|
if rows is not None and len(rows) > 0: |
365
|
|
|
for row in rows: |
366
|
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
367
|
|
|
timedelta(minutes=timezone_offset) |
368
|
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
369
|
|
|
point_timestamps.append(current_datetime) |
370
|
|
|
point_values.append(row[1]) |
371
|
|
|
|
372
|
|
|
elif point['object_type'] == 'ENERGY_VALUE': |
373
|
|
|
query = (" SELECT utc_date_time, actual_value " |
374
|
|
|
" FROM tbl_energy_value " |
375
|
|
|
" WHERE point_id = %s " |
376
|
|
|
" AND utc_date_time BETWEEN %s AND %s " |
377
|
|
|
" ORDER BY utc_date_time ") |
378
|
|
|
cursor_historical.execute(query, (point['id'], |
379
|
|
|
reporting_start_datetime_utc, |
380
|
|
|
reporting_end_datetime_utc)) |
381
|
|
|
rows = cursor_historical.fetchall() |
382
|
|
|
|
383
|
|
|
if rows is not None and len(rows) > 0: |
384
|
|
|
for row in rows: |
385
|
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
386
|
|
|
timedelta(minutes=timezone_offset) |
387
|
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
388
|
|
|
point_timestamps.append(current_datetime) |
389
|
|
|
point_values.append(row[1]) |
390
|
|
|
elif point['object_type'] == 'DIGITAL_VALUE': |
391
|
|
|
query = (" SELECT utc_date_time, actual_value " |
392
|
|
|
" FROM tbl_digital_value " |
393
|
|
|
" WHERE point_id = %s " |
394
|
|
|
" AND utc_date_time BETWEEN %s AND %s ") |
395
|
|
|
cursor_historical.execute(query, (point['id'], |
396
|
|
|
reporting_start_datetime_utc, |
397
|
|
|
reporting_end_datetime_utc)) |
398
|
|
|
rows = cursor_historical.fetchall() |
399
|
|
|
|
400
|
|
|
if rows is not None and len(rows) > 0: |
401
|
|
|
for row in rows: |
402
|
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
403
|
|
|
timedelta(minutes=timezone_offset) |
404
|
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
405
|
|
|
point_timestamps.append(current_datetime) |
406
|
|
|
point_values.append(row[1]) |
407
|
|
|
|
408
|
|
|
parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
409
|
|
|
parameters_data['timestamps'].append(point_timestamps) |
410
|
|
|
parameters_data['values'].append(point_values) |
411
|
|
|
|
412
|
|
|
################################################################################################################ |
413
|
|
|
# Step 12: construct the report |
414
|
|
|
################################################################################################################ |
415
|
|
|
if cursor_system: |
416
|
|
|
cursor_system.close() |
417
|
|
|
if cnx_system: |
418
|
|
|
cnx_system.disconnect() |
419
|
|
|
|
420
|
|
|
if cursor_billing: |
421
|
|
|
cursor_billing.close() |
422
|
|
|
if cnx_billing: |
423
|
|
|
cnx_billing.disconnect() |
424
|
|
|
|
425
|
|
|
result = dict() |
426
|
|
|
|
427
|
|
|
result['equipment'] = dict() |
428
|
|
|
result['equipment']['name'] = equipment['name'] |
429
|
|
|
|
430
|
|
|
result['base_period'] = dict() |
431
|
|
|
result['base_period']['names'] = list() |
432
|
|
|
result['base_period']['units'] = list() |
433
|
|
|
result['base_period']['timestamps'] = list() |
434
|
|
|
result['base_period']['values'] = list() |
435
|
|
|
result['base_period']['subtotals'] = list() |
436
|
|
|
result['base_period']['total'] = Decimal(0.0) |
437
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
438
|
|
|
for energy_category_id in energy_category_set: |
439
|
|
|
result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
440
|
|
|
result['base_period']['units'].append(config.currency_unit) |
441
|
|
|
result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
442
|
|
|
result['base_period']['values'].append(base[energy_category_id]['values']) |
443
|
|
|
result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
444
|
|
|
result['base_period']['total'] += base[energy_category_id]['subtotal'] |
445
|
|
|
|
446
|
|
|
result['reporting_period'] = dict() |
447
|
|
|
result['reporting_period']['names'] = list() |
448
|
|
|
result['reporting_period']['energy_category_ids'] = list() |
449
|
|
|
result['reporting_period']['units'] = list() |
450
|
|
|
result['reporting_period']['timestamps'] = list() |
451
|
|
|
result['reporting_period']['values'] = list() |
452
|
|
|
result['reporting_period']['subtotals'] = list() |
453
|
|
|
result['reporting_period']['subtotals_per_unit_area'] = list() |
454
|
|
|
result['reporting_period']['increment_rates'] = list() |
455
|
|
|
result['reporting_period']['total'] = Decimal(0.0) |
456
|
|
|
result['reporting_period']['total_per_unit_area'] = Decimal(0.0) |
457
|
|
|
result['reporting_period']['total_increment_rate'] = Decimal(0.0) |
458
|
|
|
result['reporting_period']['total_unit'] = config.currency_unit |
459
|
|
|
|
460
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0: |
461
|
|
|
for energy_category_id in energy_category_set: |
462
|
|
|
result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
463
|
|
|
result['reporting_period']['energy_category_ids'].append(energy_category_id) |
464
|
|
|
result['reporting_period']['units'].append(config.currency_unit) |
465
|
|
|
result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
466
|
|
|
result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
467
|
|
|
result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
468
|
|
|
result['reporting_period']['increment_rates'].append( |
469
|
|
|
(reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
470
|
|
|
base[energy_category_id]['subtotal'] |
471
|
|
|
if base[energy_category_id]['subtotal'] > 0.0 else None) |
472
|
|
|
result['reporting_period']['total'] += reporting[energy_category_id]['subtotal'] |
473
|
|
|
|
474
|
|
|
result['reporting_period']['total_increment_rate'] = \ |
475
|
|
|
(result['reporting_period']['total'] - result['base_period']['total']) / \ |
476
|
|
|
result['base_period']['total'] \ |
477
|
|
|
if result['base_period']['total'] > Decimal(0.0) else None |
478
|
|
|
|
479
|
|
|
result['parameters'] = { |
480
|
|
|
"names": parameters_data['names'], |
481
|
|
|
"timestamps": parameters_data['timestamps'], |
482
|
|
|
"values": parameters_data['values'] |
483
|
|
|
} |
484
|
|
|
|
485
|
|
|
resp.body = json.dumps(result) |
486
|
|
|
|