244 lines
13 KiB
Python
244 lines
13 KiB
Python
import falcon
|
|
import simplejson as json
|
|
import mysql.connector
|
|
import config
|
|
from anytree import Node, AnyNode, LevelOrderIter
|
|
from datetime import datetime, timedelta, timezone
|
|
from decimal import Decimal
|
|
import excelexporters.storebatch
|
|
|
|
|
|
class Reporting:
|
|
@staticmethod
|
|
def __init__():
|
|
pass
|
|
|
|
@staticmethod
|
|
def on_options(req, resp):
|
|
resp.status = falcon.HTTP_200
|
|
|
|
####################################################################################################################
|
|
# PROCEDURES
|
|
# Step 1: valid parameters
|
|
# Step 2: build a space tree
|
|
# Step 3: query all tenants in the space tree
|
|
# Step 4: query energy categories
|
|
# Step 5: query reporting period energy input
|
|
# Step 6: construct the report
|
|
####################################################################################################################
|
|
@staticmethod
|
|
def on_get(req, resp):
|
|
print(req.params)
|
|
space_id = req.params.get('spaceid')
|
|
reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime')
|
|
reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime')
|
|
|
|
################################################################################################################
|
|
# Step 1: valid parameters
|
|
################################################################################################################
|
|
if space_id is None:
|
|
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID')
|
|
else:
|
|
space_id = str.strip(space_id)
|
|
if not space_id.isdigit() or int(space_id) <= 0:
|
|
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID')
|
|
else:
|
|
space_id = int(space_id)
|
|
|
|
timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
|
|
if config.utc_offset[0] == '-':
|
|
timezone_offset = -timezone_offset
|
|
|
|
if reporting_period_start_datetime_local is None:
|
|
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
|
description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
|
|
else:
|
|
reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local)
|
|
try:
|
|
reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local,
|
|
'%Y-%m-%dT%H:%M:%S')
|
|
except ValueError:
|
|
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
|
description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
|
|
reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
|
|
timedelta(minutes=timezone_offset)
|
|
|
|
if reporting_period_end_datetime_local is None:
|
|
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
|
description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
|
|
else:
|
|
reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local)
|
|
try:
|
|
reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local,
|
|
'%Y-%m-%dT%H:%M:%S')
|
|
except ValueError:
|
|
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
|
description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
|
|
reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
|
|
timedelta(minutes=timezone_offset)
|
|
|
|
if reporting_start_datetime_utc >= reporting_end_datetime_utc:
|
|
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
|
description='API.INVALID_REPORTING_PERIOD_END_DATETIME')
|
|
|
|
# if reporting_start_datetime_utc + timedelta(minutes=15) >= reporting_end_datetime_utc:
|
|
# raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
|
# description='API.THE_REPORTING_PERIOD_MUST_BE_LONGER_THAN_15_MINUTES')
|
|
|
|
cnx_system_db = mysql.connector.connect(**config.myems_system_db)
|
|
cursor_system_db = cnx_system_db.cursor(dictionary=True)
|
|
|
|
cursor_system_db.execute(" SELECT name "
|
|
" FROM tbl_spaces "
|
|
" WHERE id = %s ", (space_id,))
|
|
row = cursor_system_db.fetchone()
|
|
|
|
if row is None:
|
|
if cursor_system_db:
|
|
cursor_system_db.close()
|
|
if cnx_system_db:
|
|
cnx_system_db.disconnect()
|
|
raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND',
|
|
description='API.SPACE_NOT_FOUND')
|
|
else:
|
|
space_name = row['name']
|
|
|
|
################################################################################################################
|
|
# Step 2: build a space tree
|
|
################################################################################################################
|
|
|
|
query = (" SELECT id, name, parent_space_id "
|
|
" FROM tbl_spaces "
|
|
" ORDER BY id ")
|
|
cursor_system_db.execute(query)
|
|
rows_spaces = cursor_system_db.fetchall()
|
|
node_dict = dict()
|
|
if rows_spaces is not None and len(rows_spaces) > 0:
|
|
for row in rows_spaces:
|
|
parent_node = node_dict[row['parent_space_id']] if row['parent_space_id'] is not None else None
|
|
node_dict[row['id']] = AnyNode(id=row['id'], parent=parent_node, name=row['name'])
|
|
|
|
################################################################################################################
|
|
# Step 3: query all tenants in the space tree
|
|
################################################################################################################
|
|
store_dict = dict()
|
|
space_dict = dict()
|
|
|
|
for node in LevelOrderIter(node_dict[space_id]):
|
|
space_dict[node.id] = node.name
|
|
|
|
cursor_system_db.execute(" SELECT store.id, store.name AS store_name, s.name AS space_name, "
|
|
" cc.name AS cost_center_name, store.description "
|
|
" FROM tbl_spaces s, tbl_spaces_stores ss, tbl_stores store, tbl_cost_centers cc "
|
|
" WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") "
|
|
" AND ss.space_id = s.id AND ss.store_id = store.id "
|
|
" AND store.cost_center_id = cc.id ", )
|
|
rows_stores = cursor_system_db.fetchall()
|
|
if rows_stores is not None and len(rows_stores) > 0:
|
|
for row in rows_stores:
|
|
store_dict[row['id']] = {"store_name": row['store_name'],
|
|
"space_name": row['space_name'],
|
|
"cost_center_name": row['cost_center_name'],
|
|
"description": row['description'],
|
|
"values": list()}
|
|
|
|
################################################################################################################
|
|
# Step 4: query energy categories
|
|
################################################################################################################
|
|
cnx_energy_db = mysql.connector.connect(**config.myems_energy_db)
|
|
cursor_energy_db = cnx_energy_db.cursor()
|
|
|
|
# query energy categories in reporting period
|
|
energy_category_set = set()
|
|
cursor_energy_db.execute(" SELECT DISTINCT(energy_category_id) "
|
|
" FROM tbl_store_input_category_hourly "
|
|
" WHERE start_datetime_utc >= %s AND start_datetime_utc < %s ",
|
|
(reporting_start_datetime_utc, reporting_end_datetime_utc))
|
|
rows_energy_categories = cursor_energy_db.fetchall()
|
|
if rows_energy_categories is not None or len(rows_energy_categories) > 0:
|
|
for row_energy_category in rows_energy_categories:
|
|
energy_category_set.add(row_energy_category[0])
|
|
|
|
# query all energy categories
|
|
cursor_system_db.execute(" SELECT id, name, unit_of_measure "
|
|
" FROM tbl_energy_categories "
|
|
" ORDER BY id ", )
|
|
rows_energy_categories = cursor_system_db.fetchall()
|
|
if rows_energy_categories is None or len(rows_energy_categories) == 0:
|
|
if cursor_system_db:
|
|
cursor_system_db.close()
|
|
if cnx_system_db:
|
|
cnx_system_db.disconnect()
|
|
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.disconnect()
|
|
|
|
raise falcon.HTTPError(falcon.HTTP_404,
|
|
title='API.NOT_FOUND',
|
|
description='API.ENERGY_CATEGORY_NOT_FOUND')
|
|
energy_category_list = list()
|
|
for row_energy_category in rows_energy_categories:
|
|
if row_energy_category['id'] in energy_category_set:
|
|
energy_category_list.append({"id": row_energy_category['id'],
|
|
"name": row_energy_category['name'],
|
|
"unit_of_measure": row_energy_category['unit_of_measure']})
|
|
|
|
################################################################################################################
|
|
# Step 5: query reporting period energy input
|
|
################################################################################################################
|
|
for store_id in store_dict:
|
|
|
|
cursor_energy_db.execute(" SELECT energy_category_id, SUM(actual_value) "
|
|
" FROM tbl_store_input_category_hourly "
|
|
" WHERE store_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" GROUP BY energy_category_id ",
|
|
(store_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
rows_tenant_energy = cursor_energy_db.fetchall()
|
|
for energy_category in energy_category_list:
|
|
subtotal = Decimal(0.0)
|
|
for row_tenant_energy in rows_tenant_energy:
|
|
if energy_category['id'] == row_tenant_energy[0]:
|
|
subtotal = row_tenant_energy[1]
|
|
break
|
|
store_dict[store_id]['values'].append(subtotal)
|
|
|
|
if cursor_system_db:
|
|
cursor_system_db.close()
|
|
if cnx_system_db:
|
|
cnx_system_db.disconnect()
|
|
|
|
if cursor_energy_db:
|
|
cursor_energy_db.close()
|
|
if cnx_energy_db:
|
|
cnx_energy_db.disconnect()
|
|
|
|
################################################################################################################
|
|
# Step 6: construct the report
|
|
################################################################################################################
|
|
store_list = list()
|
|
for store_id, store in store_dict.items():
|
|
store_list.append({
|
|
"id": store_id,
|
|
"store_name": store['store_name'],
|
|
"space_name": store['space_name'],
|
|
"cost_center_name": store['cost_center_name'],
|
|
"description": store['description'],
|
|
"values": store['values'],
|
|
})
|
|
|
|
result = {'stores': store_list,
|
|
'energycategories': energy_category_list}
|
|
|
|
# export result to Excel file and then encode the file to base64 string
|
|
result['excel_bytes_base64'] = excelexporters.storebatch.export(result,
|
|
space_name,
|
|
reporting_period_start_datetime_local,
|
|
reporting_period_end_datetime_local)
|
|
resp.body = json.dumps(result)
|