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Merge remote-tracking branch 'origin_myems/develop' into develop

pull/25/head
hyh123a 2021-03-28 19:51:24 +08:00
parent d4712b1dd5 7c19344e8f
commit 0f6a6d20c1
17 changed files with 1118 additions and 169 deletions
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30
README.md
View File

@ -22,53 +22,43 @@ MyEMS是行业领先的开源能源管理系统，利用云计算、物联网、
## MyEMS组件(社区版)
MyEMS项目由下列组件构成:
### MyEMS 数据库
SQL
### MyEMS 数据库 (SQL)
[安装 数据库](./database/README.md)
### MyEMS API 应用程序接口
Python
### MyEMS API 应用程序接口 (Python)
[安装 myems-api](./myems-api/README.md)
### MyEMS 管理 UI
AngularJS
### MyEMS 管理 UI (AngularJS)
[安装 admin UI](./admin/README.md)
### MyEMS BACnet/IP 数据采集服务
Python
### MyEMS BACnet/IP 数据采集服务 (Python)
[安装 myems-bacnet](./myems-bacnet/README.md)
### MyEMS Modbus TCP 数据采集服务
Python
### MyEMS Modbus TCP 数据采集服务 (Python)
[安装 myems-modbus-tcp](./myems-modbus-tcp/README.md)
### MyEMS MQTT数据转发服务
Python
### MyEMS MQTT数据转发服务 (Python)
[安装 myems-mqtt-publisher](./myems-mqtt-publisher/README.md)
### MyEMS 数据清洗服务
Python
### MyEMS 数据清洗服务 (Python)
[安装 myems-cleaning](./myems-cleaning/README.md)
### MyEMS 数据规范化服务
Python
### MyEMS 数据规范化服务 (Python)
[安装 myems-normalization](./myems-normalization/README.md)
### MyEMS 数据汇总服务
Python
### MyEMS 数据汇总服务 (Python)
[安装 myems-aggregation](./myems-aggregation/README.md)
### MyEMS Web UI
ReactJS
### MyEMS Web UI (ReactJS)
[安装 web UI](./web/README.md)

30
README_DE.md
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@ -23,53 +23,43 @@ MyEMS wird von einem erfahrenen Entwicklungsteam entwickelt und gewartet, und de
Dieses Projekt besteht aus folgenden Komponenten:
### MyEMS Database
SQL
### MyEMS Database (SQL)
[Installieren database](./database/README.md)
### MyEMS API
Python
### MyEMS API (Python)
[Installieren myems-api](./myems-api/README.md)
### MyEMS Admin UI
AngularJS
### MyEMS Admin UI (AngularJS)
[Installieren admin UI](./admin/README.md)
### MyEMS BACnet/IP Acquisition Service
Python
### MyEMS BACnet/IP Acquisition Service (Python)
[Installieren myems-bacnet](./myems-bacnet/README.md)
### MyEMS Modbus TCP Acquisition Service
Python
### MyEMS Modbus TCP Acquisition Service (Python)
[Installieren myems-modbus-tcp](./myems-modbus-tcp/README.md)
### MyEMS MQTT Data vorwärts Service
Python
### MyEMS MQTT Data vorwärts Service (Python)
[Installieren myems-mqtt-publisher](./myems-mqtt-publisher/README.md)
### MyEMS Cleaning Service
Python
### MyEMS Cleaning Service (Python)
[Installieren myems-cleaning](./myems-cleaning/README.md)
### MyEMS Normalization Service
Python
### MyEMS Normalization Service (Python)
[Installieren myems-normalization](./myems-normalization/README.md)
### MyEMS Aggregation Service
Python
### MyEMS Aggregation Service (Python)
[Installieren myems-aggregation](./myems-aggregation/README.md)
### MyEMS Web UI
ReactJS
### MyEMS Web UI (ReactJS)
[Installieren web UI](./web/README.md)

30
README_EN.md
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@ -23,53 +23,43 @@ MyEMS is being developed and maintained by an experienced development team, and
This project is compose of following components:
### MyEMS Database
SQL
### MyEMS Database (SQL)
[Install database](./database/README.md)
### MyEMS API
Python
### MyEMS API (Python)
[Install myems-api](./myems-api/README.md)
### MyEMS Admin UI
ReactJS
### MyEMS Admin UI (ReactJS)
[Install admin UI](./admin/README.md)
### MyEMS BACnet/IP Acquisition Service
Python
### MyEMS BACnet/IP Acquisition Service (Python)
[Install myems-bacnet](./myems-bacnet/README.md)
### MyEMS Modbus TCP Acquisition Service
Python
### MyEMS Modbus TCP Acquisition Service (Python)
[Install myems-modbus-tcp](./myems-modbus-tcp/README.md)
### MyEMS MQTT Data Forwarding Service
Python
### MyEMS MQTT Data Forwarding Service (Python)
[Install myems-mqtt-publisher](./myems-mqtt-publisher/README.md)
### MyEMS Cleaning Service
Python
### MyEMS Cleaning Service (Python)
[Install myems-cleaning](./myems-cleaning/README.md)
### MyEMS Normalization Service
Python
### MyEMS Normalization Service (Python)
[Install myems-normalization](./myems-normalization/README.md)
### MyEMS Aggregation Service
Python
### MyEMS Aggregation Service (Python)
[Install myems-aggregation](./myems-aggregation/README.md)
### MyEMS Web UI
AngularJS
### MyEMS Web UI (AngularJS)
[Install web UI](./web/README.md)

18
database/myems_fdd_db.sql
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@ -84,6 +84,24 @@ CREATE TABLE IF NOT EXISTS `myems_fdd_db`.`tbl_rules` (
PRIMARY KEY (`id`));
CREATE INDEX `tbl_rules_index_1` ON `myems_fdd_db`.`tbl_rules` (`name`);
-- ---------------------------------------------------------------------------------------------------------------------
-- Data for table `myems_fdd_db`.`tbl_rules`
-- ---------------------------------------------------------------------------------------------------------------------
-- INSERT INTO `tbl_rules` VALUES (1, '网关通讯异常报警', '31408ce8-f2ac-48bd-99c3-0466c746262b', 'SYSTEM01', 'SYSTEM', 'MEDIUM', 'EMAIL', '{\"minutes\": 30, \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}], \"not_alarm_gateway\": []}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (2, '数据点通讯异常报警', '1350d71f-64d0-4276-835b-bfdf84a86bab', 'SYSTEM02', 'SYSTEM', 'MEDIUM', 'EMAIL', '{\"minutes\": 30, \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}], \"not_alarm_points\": []}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (3, '电压电流异常报警', '947fdbfd-7915-4484-93bc-9dfe0c8622a8', 'REALTIME01', 'REALTIME', 'MEDIUM', 'EMAIL', '{\"minutes\": 30, \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}], \"not_alarm_points\": []}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (4, '数据上下限异常报警', '0f9afcad-4fbd-4978-a4ed-5bc7c85ce04e', 'SPACE01', 'SPACE', 'MEDIUM', 'EMAIL', '{\"days\": 1, \"space\": {\"name\": \"远洋太古里\", \"limit\": [[\"电\", 60, 0], [\"水\", 999, 0], [\"天然气\", 999, 0]]}, \"period\": \"day\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (5, '数据每日环比异常报警', '6f9c8f79-6495-47cb-b06f-f1d2cc767ee7', 'SPACE02', 'SPACE', 'MEDIUM', 'EMAIL', '{\"days\": 1, \"space\": {\"name\": \"远洋太古里\", \"limit\": [[\"电\", 0.6, 0.0], [\"水\", 0.99, 0.0], [\"天然气\", 0.99, 0.0]]}, \"period\": \"day\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (6, '数据每周环比异常报警', 'e3cb0824-f0fb-4563-8b5f-00b610da6b15', 'SPACE03', 'SPACE', 'MEDIUM', 'EMAIL', '{\"days\": 7, \"space\": {\"name\": \"远洋太古里\", \"limit\": [[\"电\", 0.6, 0.0], [\"水\", 0.99, 0.0], [\"天然气\", 0.99, 0.0]]}, \"period\": \"week\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (7, '数据每月环比异常报警', '005e92e7-380c-46f6-a543-7937d703d038', 'SPACE04', 'SPACE', 'MEDIUM', 'EMAIL', '{\"space\": {\"name\": \"远洋太古里\", \"limit\": [[\"电\", 0.6, 0.0], [\"水\", 0.99, 0.0], [\"天然气\", 0.99, 0.0]]}, \"months\": 1, \"period\": \"month\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (8, '数据上下限异常报警', '5c201b7c-68fd-4c86-bc50-e44ee3cf29cb', 'METER01', 'METER', 'MEDIUM', 'EMAIL', '{\"days\": 1, \"meter\": {\"name\": \"低压柜主进线#1\", \"limit\": [999, 0]}, \"period\": \"day\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (9, '数据每日环比异常报警', 'aa3a764a-e777-4a12-ac7a-89425cdff876', 'METER02', 'METER', 'MEDIUM', 'EMAIL', '{\"days\": 1, \"meter\": {\"name\": \"低压柜主进线#1\", \"limit\": [0.99, 0]}, \"period\": \"day\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (10, '数据每周环比异常报警', '1b7dd8bf-904f-417c-9552-3e9085e06b12', 'METER03', 'METER', 'MEDIUM', 'EMAIL', '{\"days\": 7, \"meter\": {\"name\": \"低压柜主进线#1\", \"limit\": [0.99, 0]}, \"period\": \"week\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (11, '数据每月环比异常报警', '8f5f1109-13b9-4b17-9b1d-ada6fa09d735', 'METER04', 'METER', 'MEDIUM', 'EMAIL', '{\"meter\": {\"name\": \"低压柜主进线#1\", \"limit\": [0.99, 0]}, \"months\": 1, \"period\": \"month\", \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (12, '数据上下限异常报警', '7a033366-72e9-41a8-9660-9f4461b6d9fb', 'TENANT01', 'TENANT', 'MEDIUM', 'EMAIL', '{\"days\": 1, \"period\": \"day\", \"tenant\": {\"name\": \"Starbucks星巴克\", \"limit\": [[\"电\", 60, 0], [\"水\", 999, 0], [\"天然气\", 999, 0]]}, \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (13, '数据每日环比异常报警', '7eb7ec13-87d2-44de-8070-d6d7ad933927', 'TENANT02', 'TENANT', 'MEDIUM', 'EMAIL', '{\"days\": 1, \"period\": \"day\", \"tenant\": {\"name\": \"Starbucks星巴克\", \"limit\": [[\"电\", 0.6, 0], [\"水\", 0.99, 0], [\"天然气\", 0.99, 0]]}, \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (14, '数据每周环比异常报警', 'c33d7123-95f7-445c-a178-13a2b0d54489', 'TENANT03', 'TENANT', 'MEDIUM', 'EMAIL', '{\"days\": 7, \"period\": \"week\", \"tenant\": {\"name\": \"Starbucks星巴克\", \"limit\": [[\"电\", 0.6, 0], [\"水\", 0.99, 0], [\"天然气\", 0.99, 0]]}, \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
-- INSERT INTO `tbl_rules` VALUES (15, '数据每月环比异常报警', '49183491-77f2-48dd-a56d-bd73e5971e1c', 'TENANT04', 'TENANT', 'MEDIUM', 'EMAIL', '{\"months\": 1, \"period\": \"month\", \"tenant\": {\"name\": \"Starbucks星巴克\", \"limit\": [[\"电\", 0.6, 0], [\"水\", 0.99, 0], [\"天然气\", 0.99, 0]]}, \"recipients\": [{\"name\": \"Johnson\", \"email\": \"johnson@myems.io\", \"mobile\": \"8613888888888\"}]}', '$s1', 1);
INSERT INTO `tbl_rules` VALUES (1, '网关通讯异常报警', '1', 'SYSTEM01', 'SYSTEM', 'MEDIUM', 'EMAIL', '{\"minutes\": 30, \"recipients\": [{\"name\": \"Yinghao Huang\", \"email\": \"yinghao.huang@myems.io\", \"mobile\": \"8615652962029\"}], \"not_alarm_gateway\": []}', '$s1', 1, NULL, NULL);
INSERT INTO `tbl_rules` VALUES (2, '数据点通讯异常报警', '2', 'SYSTEM02', 'SYSTEM', 'MEDIUM', 'EMAIL', '{\"minutes\": 30, \"recipients\": [{\"name\": \"Yinghao Huang\", \"email\": \"yinghao.huang@myems.io\", \"mobile\": \"8615652962029\"}], \"not_alarm_points\": []}', '$s1', 1, NULL, NULL);

6
myems-api/core/utilities.py
View File

@ -16,6 +16,12 @@ import statistics
########################################################################################################################
def aggregate_hourly_data_by_period(rows_hourly, start_datetime_utc, end_datetime_utc, period_type):
# todo: validate parameters
if start_datetime_utc is None or \
end_datetime_utc is None or \
start_datetime_utc >= end_datetime_utc or \
period_type not in ('hourly', 'daily', 'monthly', 'yearly'):
return list()
start_datetime_utc = start_datetime_utc.replace(tzinfo=None)
end_datetime_utc = end_datetime_utc.replace(tzinfo=None)

16
myems-api/excelexporters/combinedequipmentefficiency.py
View File

@ -484,17 +484,19 @@ def generate_excel(report,
parameters_ws_current_row_number += 1
table_current_col_number = 'B'
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number-1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number)
col = chr(ord(table_current_col_number) + 1)
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
@ -505,14 +507,14 @@ def generate_excel(report,
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = table_current_col_number
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = chr(ord(col) + 1)
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
@ -521,7 +523,7 @@ def generate_excel(report,
table_current_row_number += 1
table_current_col_number = chr(ord(table_current_col_number) + 3)
table_current_col_number = table_current_col_number + 3
########################################################
# parameters chart and parameters table

58
myems-api/excelexporters/combinedequipmentenergyitem.py
View File

@ -4,7 +4,6 @@ import os
from openpyxl.chart import (
PieChart,
LineChart,
BarChart,
Reference,
)
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
@ -432,6 +431,63 @@ def generate_excel(report,
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
#####################################
has_associated_equipment_flag = True
if "associated_equipment" not in report.keys() or \
"energy_item_names" not in report['associated_equipment'].keys() or \
len(report['associated_equipment']["energy_item_names"]) == 0 \
or 'associated_equipment_names_array' not in report['associated_equipment'].keys() \
or report['associated_equipment']['associated_equipment_names_array'] is None \
or len(report['associated_equipment']['associated_equipment_names_array']) == 0 \
or len(report['associated_equipment']['associated_equipment_names_array'][0]) == 0:
has_associated_equipment_flag = False
if has_associated_equipment_flag:
associated_equipment = report['associated_equipment']
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 相关设备数据'
current_row_number += 1
table_start_row_number = current_row_number
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = name_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '相关设备'
ca_len = len(associated_equipment['energy_item_names'])
for i in range(0, ca_len):
row = chr(ord('C') + i)
ws[row + str(current_row_number)].fill = table_fill
ws[row + str(current_row_number)].font = name_font
ws[row + str(current_row_number)].alignment = c_c_alignment
ws[row + str(current_row_number)].border = f_border
ws[row + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
associated_equipment_len = len(associated_equipment['associated_equipment_names_array'][0])
for i in range(0, associated_equipment_len):
current_row_number += 1
row = str(current_row_number)
ws['B' + row].font = title_font
ws['B' + row].alignment = c_c_alignment
ws['B' + row] = associated_equipment['associated_equipment_names_array'][0][i]
ws['B' + row].border = f_border
for j in range(0, ca_len):
col = chr(ord('C') + j)
ws[col + row].font = name_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(associated_equipment['subtotals_array'][j][i], 2)
ws[col + row].border = f_border
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)

735
myems-api/excelexporters/equipmentcost.py Normal file
View File

@ -0,0 +1,735 @@
import base64
import uuid
import os
from openpyxl.chart import (
PieChart,
LineChart,
BarChart,
Reference,
)
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
from openpyxl.drawing.image import Image
from openpyxl import Workbook
from openpyxl.chart.label import DataLabelList
import openpyxl.utils.cell as format_cell
####################################################################################################################
# PROCEDURES
# Step 1: Validate the report data
# Step 2: Generate excel file
# Step 3: Encode the excel file bytes to Base64
####################################################################################################################
def export(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type):
####################################################################################################################
# Step 1: Validate the report data
####################################################################################################################
if report is None:
return None
print(report)
####################################################################################################################
# Step 2: Generate excel file from the report data
####################################################################################################################
filename = generate_excel(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type)
####################################################################################################################
# Step 3: Encode the excel file to Base64
####################################################################################################################
try:
with open(filename, 'rb') as binary_file:
binary_file_data = binary_file.read()
except IOError as ex:
pass
# Base64 encode the bytes
base64_encoded_data = base64.b64encode(binary_file_data)
# get the Base64 encoded data using human-readable characters.
base64_message = base64_encoded_data.decode('utf-8')
# delete the file from server
try:
os.remove(filename)
except NotImplementedError as ex:
pass
return base64_message
def generate_excel(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000')
)
b_border = Border(
bottom=Side(border_style='medium', color='00000000'),
)
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
# img = Image("myems.png")
img.width = img.width * 1.06
img.height = img.height * 1.06
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local[:10] + "__" + reporting_end_datetime_local[:10]
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
# First: 报告期成本分析
# 6: title
# 7: table title
# 8~10 table_data
# Total: 5 rows
# if has not energy data: set low height for rows
#################################################
reporting_period_data = report['reporting_period']
has_energy_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_energy_data_flag = False
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name+' 报告期成本分析'
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[7].height = 60
ws['B7'].fill = table_fill
ws['B7'].border = f_border
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = '成本'
ws['B8'].border = f_border
ws['B9'].font = title_font
ws['B9'].alignment = c_c_alignment
ws['B9'] = '环比'
ws['B9'].border = f_border
col = ''
for i in range(0, ca_len):
col = chr(ord('C') + i)
row = '7'
cell = col + row
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['subtotals'][i], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['increment_rates'][i] * 100, 2)) + "%" \
if reporting_period_data['increment_rates'][i] is not None else "-"
ws[col + '9'].border = f_border
col = chr(ord(col) + 1)
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = "总计 (" + reporting_period_data['total_unit'] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['total'], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['total_increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['total_increment_rate'] is not None else "-"
ws[col + '9'].border = f_border
else:
for i in range(6, 8 + 1):
ws.row_dimensions[i].height = 0.1
#################################################
# Second: 分时用电成本
# 12: title
# 13: table title
# 14~17 table_data
# Total: 6 rows
################################################
has_ele_peak_flag = True
if "toppeaks" not in reporting_period_data.keys() or \
reporting_period_data['toppeaks'] is None or \
len(reporting_period_data['toppeaks']) == 0:
has_ele_peak_flag = False
if has_ele_peak_flag:
ws['B12'].font = title_font
ws['B12'] = name+' 分时用电成本'
ws.row_dimensions[13].height = 60
ws['B13'].fill = table_fill
ws['B13'].font = name_font
ws['B13'].alignment = c_c_alignment
ws['B13'].border = f_border
ws['C13'].fill = table_fill
ws['C13'].font = name_font
ws['C13'].alignment = c_c_alignment
ws['C13'].border = f_border
ws['C13'] = '分时用电成本'
ws['B14'].font = title_font
ws['B14'].alignment = c_c_alignment
ws['B14'] = '尖'
ws['B14'].border = f_border
ws['C14'].font = title_font
ws['C14'].alignment = c_c_alignment
ws['C14'].border = f_border
ws['C14'] = round(reporting_period_data['toppeaks'][0], 2)
ws['B15'].font = title_font
ws['B15'].alignment = c_c_alignment
ws['B15'] = '峰'
ws['B15'].border = f_border
ws['C15'].font = title_font
ws['C15'].alignment = c_c_alignment
ws['C15'].border = f_border
ws['C15'] = round(reporting_period_data['onpeaks'][0], 2)
ws['B16'].font = title_font
ws['B16'].alignment = c_c_alignment
ws['B16'] = '平'
ws['B16'].border = f_border
ws['C16'].font = title_font
ws['C16'].alignment = c_c_alignment
ws['C16'].border = f_border
ws['C16'] = round(reporting_period_data['midpeaks'][0], 2)
ws['B17'].font = title_font
ws['B17'].alignment = c_c_alignment
ws['B17'] = '谷'
ws['B17'].border = f_border
ws['C17'].font = title_font
ws['C17'].alignment = c_c_alignment
ws['C17'].border = f_border
ws['C17'] = round(reporting_period_data['offpeaks'][0], 2)
pie = PieChart()
pie.title = name+' 分时用电成本'
labels = Reference(ws, min_col=2, min_row=14, max_row=17)
pie_data = Reference(ws, min_col=3, min_row=13, max_row=17)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 7.25 # cm 1.05*5 1.05cm = 30 pt
pie.width = 9
# pie.title = "Pies sold by category"
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False # 标签显示
s1.dLbls.showVal = True # 数量显示
s1.dLbls.showPercent = True # 百分比显示
# s1 = CharacterProperties(sz=1800) # 图表中字体大小 *100
ws.add_chart(pie, "D13")
else:
for i in range(12, 18 + 1):
ws.row_dimensions[i].height = 0.1
# end_row 10
# start_row 12
################################################
# Second: 成本占比
################################################
current_row_number = 19
has_subtotals_data_flag = True
if 'subtotals' not in reporting_period_data.keys() or \
reporting_period_data['subtotals'] is None:
has_subtotals_data_flag = False
if has_subtotals_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 成本占比'
current_row_number += 1
table_start_row_number = current_row_number
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = name_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].fill = table_fill
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = '成本占比'
current_row_number += 1
category = reporting_period_data['names']
ca_len = len(category)
for i in range(0, ca_len):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = reporting_period_data['names'][i] + \
' (' + reporting_period_data['units'][i] + ')'
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].font = title_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 3)
ws['C' + str(current_row_number)].border = f_border
current_row_number += 1
table_end_row_number = current_row_number - 1
pie = PieChart()
pie.title = name + ' 成本占比'
labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 9
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
ws.add_chart(pie, 'D' + str(table_start_row_number))
if ca_len < 4:
current_row_number = current_row_number - ca_len + 4
current_row_number += 1
################################################
# Fourth: 成本详情
# current_row_number: title
# current_row_number+1 ~ current_row_number+1+ca_len*6-1: line
# current_row_number+1+ca_len*6: table title
# current_row_number+1+ca_len*6~: table_data
################################################
reporting_period_data = report['reporting_period']
times = reporting_period_data['timestamps']
has_detail_data_flag = True
ca_len = len(report['reporting_period']['names'])
real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps'])
table_row = current_row_number + 2 + ca_len*6 + real_timestamps_len*7
chart_start_row_number = current_row_number + 1
if "timestamps" not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0:
has_detail_data_flag = False
if has_detail_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name+' 详细数据'
ws.row_dimensions[table_row].height = 60
ws['B'+str(table_row)].fill = table_fill
ws['B' + str(table_row)].font = title_font
ws['B'+str(table_row)].border = f_border
ws['B'+str(table_row)].alignment = c_c_alignment
ws['B'+str(table_row)] = '日期时间'
time = times[0]
has_data = False
max_row = 0
if len(time) > 0:
has_data = True
max_row = table_row + len(time)
print("max_row", max_row)
if has_data:
for i in range(0, len(time)):
col = 'B'
row = str(table_row+1 + i)
# col = chr(ord('B') + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = time[i]
ws[col + row].border = f_border
for i in range(0, ca_len):
# 38 title
col = chr(ord('C') + i)
ws[col + str(table_row)].fill = table_fill
ws[col + str(table_row)].font = title_font
ws[col + str(table_row)].alignment = c_c_alignment
ws[col + str(table_row)] = reporting_period_data['names'][i] + \
" (" + reporting_period_data['units'][i] + ")"
ws[col + str(table_row)].border = f_border
# 39 data
time = times[i]
time_len = len(time)
for j in range(0, time_len):
row = str(table_row+1 + j)
# col = chr(ord('B') + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(reporting_period_data['values'][i][j], 2)
ws[col + row].border = f_border
current_row_number = table_row + 1 + len(times[0])
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '小计'
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
# line
# 39~: line
line = LineChart()
line.title = '报告期消耗 - ' + ws.cell(column=3+i, row=table_row).value
labels = Reference(ws, min_col=2, min_row=table_row+1, max_row=max_row)
line_data = Reference(ws, min_col=3 + i, min_row=table_row, max_row=max_row) # openpyxl bug
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25 # cm 1.05*5 1.05cm = 30 pt
line.width = 24
# pie.title = "Pies sold by category"
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
# line.dLbls.showCatName = True # label show
line.dLbls.showVal = True # val show
line.dLbls.showPercent = True # percent show
# s1 = CharacterProperties(sz=1800) # font size *100
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number + 6*i)
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number + ca_len * 6
##########################################
has_parameters_names_and_timestamps_and_values_data = True
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12+parameters_names_len*3):
parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 'B'
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number-1)].border = f_border
col = chr(ord(table_current_col_number) + 1)
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number-1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number-1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number-1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = table_current_col_number
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = chr(ord(col) + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = chr(ord(table_current_col_number) + 3)
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3+col_index*3
labels_col = 2+col_index*3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number))
line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
##########################################
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def timestamps_data_all_equal_0(lists):
for i, value in enumerate(list(lists)):
if len(value) > 0:
return False
return True
def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists):
max_len = 0
for i, value in enumerate(list(parameters_timestamps_lists)):
if len(value) > max_len:
max_len = len(value)
return max_len
def timestamps_data_not_equal_0(lists):
number = 0
for i, value in enumerate(list(lists)):
if len(value) > 0:
number += 1
return number

26
myems-api/excelexporters/equipmentefficiency.py
View File

@ -484,35 +484,37 @@ def generate_excel(report,
parameters_ws_current_row_number += 1
table_current_col_number = 'B'
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number-1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number)
col = chr(ord(table_current_col_number) + 1)
parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number-1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number-1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number-1)] = parameters_data['names'][i]
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = table_current_col_number
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = chr(ord(col) + 1)
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
@ -521,7 +523,7 @@ def generate_excel(report,
table_current_row_number += 1
table_current_col_number = chr(ord(table_current_col_number) + 3)
table_current_col_number = table_current_col_number + 3
########################################################
# parameters chart and parameters table

80
myems-api/reports/combinedequipmentenergyitem.py
View File

@ -23,11 +23,13 @@ class Reporting:
# Step 2: query the combined equipment
# Step 3: query energy items
# Step 4: query associated points
# Step 5: query base period energy input
# Step 6: query reporting period energy input
# Step 7: query tariff data
# Step 8: query associated points data
# Step 9: construct the report
# Step 5: query associated equipments
# Step 6: query base period energy input
# Step 7: query reporting period energy input
# Step 8: query tariff data
# Step 9: query associated points data
# Step 10: query associated equipments energy input
# Step 11: construct the report
####################################################################################################################
@staticmethod
def on_get(req, resp):
@ -239,7 +241,21 @@ class Reporting:
point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]})
################################################################################################################
# Step 5: query base period energy input
# Step 5: query associated equipments
################################################################################################################
associated_equipment_list = list()
cursor_system.execute(" SELECT e.id, e.name "
" FROM tbl_equipments e,tbl_combined_equipments_equipments ee"
" WHERE ee.combined_equipment_id = %s AND e.id = ee.equipment_id"
" ORDER BY e.id ", (combined_equipment['id'],))
rows_associated_equipments = cursor_system.fetchall()
if rows_associated_equipments is not None and len(rows_associated_equipments) > 0:
for row in rows_associated_equipments:
associated_equipment_list.append({"id": row[0], "name": row[1]})
print(associated_equipment_list)
################################################################################################################
# Step 6: query base period energy input
################################################################################################################
base = dict()
if energy_item_set is not None and len(energy_item_set) > 0:
@ -286,7 +302,7 @@ class Reporting:
base[energy_item_id]['subtotal'] += actual_value
################################################################################################################
# Step 6: query reporting period energy input
# Step 7: query reporting period energy input
################################################################################################################
reporting = dict()
if energy_item_set is not None and len(energy_item_set) > 0:
@ -353,7 +369,7 @@ class Reporting:
reporting[energy_item_id]['offpeak'] += row[1]
################################################################################################################
# Step 7: query tariff data
# Step 8: query tariff data
################################################################################################################
parameters_data = dict()
parameters_data['names'] = list()
@ -379,7 +395,7 @@ class Reporting:
parameters_data['values'].append(tariff_value_list)
################################################################################################################
# Step 8: query associated points data
# Step 9: query associated points data
################################################################################################################
for point in point_list:
point_values = []
@ -444,7 +460,37 @@ class Reporting:
parameters_data['values'].append(point_values)
################################################################################################################
# Step 9: construct the report
# Step 10: query associated equipments energy input
################################################################################################################
associated_equipment_data = dict()
if energy_item_set is not None and len(energy_item_set) > 0:
for energy_item_id in energy_item_set:
associated_equipment_data[energy_item_id] = dict()
associated_equipment_data[energy_item_id]['associated_equipment_names'] = list()
associated_equipment_data[energy_item_id]['subtotals'] = list()
for associated_equipment in associated_equipment_list:
associated_equipment_data[energy_item_id]['associated_equipment_names'].append(
associated_equipment['name'])
cursor_energy.execute(" SELECT SUM(actual_value) "
" FROM tbl_equipment_input_item_hourly "
" WHERE equipment_id = %s "
" AND energy_item_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s "
" ORDER BY start_datetime_utc ",
(associated_equipment['id'],
energy_item_id,
reporting_start_datetime_utc,
reporting_end_datetime_utc))
row_subtotal = cursor_energy.fetchone()
subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0]
associated_equipment_data[energy_item_id]['subtotals'].append(subtotal)
################################################################################################################
# Step 11: construct the report
################################################################################################################
if cursor_system:
cursor_system.close()
@ -522,6 +568,20 @@ class Reporting:
"values": parameters_data['values']
}
result['associated_equipment'] = dict()
result['associated_equipment']['energy_item_names'] = list()
result['associated_equipment']['units'] = list()
result['associated_equipment']['associated_equipment_names_array'] = list()
result['associated_equipment']['subtotals_array'] = list()
if energy_item_set is not None and len(energy_item_set) > 0:
for energy_item_id in energy_item_set:
result['associated_equipment']['energy_item_names'].append(energy_item_dict[energy_item_id]['name'])
result['associated_equipment']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure'])
result['associated_equipment']['associated_equipment_names_array'].append(
associated_equipment_data[energy_item_id]['associated_equipment_names'])
result['associated_equipment']['subtotals_array'].append(
associated_equipment_data[energy_item_id]['subtotals'])
# export result to Excel file and then encode the file to base64 string
result['excel_bytes_base64'] = excelexporters.combinedequipmentenergyitem.export(result,
combined_equipment['name'],

7
myems-api/reports/equipmentcost.py
View File

@ -5,6 +5,7 @@ import config
from datetime import datetime, timedelta, timezone
from core import utilities
from decimal import Decimal
import excelexporters.equipmentcost
class Reporting:
@ -511,5 +512,9 @@ class Reporting:
"timestamps": parameters_data['timestamps'],
"values": parameters_data['values']
}
result['excel_bytes_base64'] = excelexporters.equipmentcost.export(result,
equipment['name'],
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type)
resp.body = json.dumps(result)

30
myems-cleaning/clean_analog_value.py
View File

@ -7,30 +7,32 @@ import schedule
def job(logger):
cnx = None
cursor = None
cnx_historical = None
cursor_historical = None
try:
cnx = mysql.connector.connect(**config.myems_historical_db)
cursor = cnx.cursor()
cnx_historical = mysql.connector.connect(**config.myems_historical_db)
cursor_historical = cnx_historical.cursor()
except Exception as e:
logger.error("Error in clean analog value process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
return
expired_utc = datetime.utcnow() - timedelta(days=config.live_in_days)
try:
cursor.execute(" DELETE FROM tbl_analog_value WHERE utc_date_time < %s ", (expired_utc,))
cnx.commit()
cursor_historical.execute(" DELETE "
" FROM tbl_analog_value "
" WHERE utc_date_time < %s ", (expired_utc,))
cnx_historical.commit()
except Exception as e:
logger.error("Error in delete_expired_trend process " + str(e))
finally:
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
logger.info("Deleted trend before date time in UTC: " + expired_utc.isoformat()[0:19])

30
myems-cleaning/clean_digital_value.py
View File

@ -7,30 +7,32 @@ import schedule
def job(logger):
cnx = None
cursor = None
cnx_historical = None
cursor_historical = None
try:
cnx = mysql.connector.connect(**config.myems_historical_db)
cursor = cnx.cursor()
cnx_historical = mysql.connector.connect(**config.myems_historical_db)
cursor_historical = cnx_historical.cursor()
except Exception as e:
logger.error("Error in clean digital value process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
return
expired_utc = datetime.utcnow() - timedelta(days=config.live_in_days)
try:
cursor.execute(" DELETE FROM tbl_digital_value WHERE utc_date_time < %s ", (expired_utc,))
cnx.commit()
cursor_historical.execute(" DELETE "
" FROM tbl_digital_value "
" WHERE utc_date_time < %s ", (expired_utc,))
cnx_historical.commit()
except Exception as e:
logger.error("Error in delete_expired_trend process " + str(e))
finally:
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
logger.info("Deleted trend before date time in UTC: " + expired_utc.isoformat()[0:19])

99
myems-cleaning/clean_energy_value.py
View File

@ -1,7 +1,7 @@
import mysql.connector
import config
import time
from datetime import datetime
from datetime import datetime, timedelta
########################################################################################################################
@ -17,17 +17,17 @@ def process(logger):
while True:
# the outermost loop to reconnect server if there is a connection error
cnx = None
cursor = None
cnx_historical = None
cursor_historical = None
try:
cnx = mysql.connector.connect(**config.myems_historical_db)
cursor = cnx.cursor()
cnx_historical = mysql.connector.connect(**config.myems_historical_db)
cursor_historical = cnx_historical.cursor()
except Exception as e:
logger.error("Error at the begin of clean_energy_value.process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
time.sleep(60)
continue
@ -46,19 +46,20 @@ def process(logger):
query = (" SELECT MIN(utc_date_time), MAX(utc_date_time) "
" FROM tbl_energy_value "
" WHERE is_bad IS NULL ")
cursor.execute(query, ())
row_datetime = cursor.fetchone()
cursor_historical.execute(query, ())
row_datetime = cursor_historical.fetchone()
if row_datetime is not None and len(row_datetime) == 2 and \
isinstance(row_datetime[0], datetime) and isinstance(row_datetime[1], datetime):
min_datetime = row_datetime[0]
# NOTE: To avoid omission mistakes, we start one hour early
min_datetime = row_datetime[0] - timedelta(hours=1)
max_datetime = row_datetime[1]
except Exception as e:
logger.error("Error in Step 1 of clean_energy_value.process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
time.sleep(60)
continue
print("min_datetime: " + min_datetime.isoformat()[0:19])
@ -170,6 +171,8 @@ def process(logger):
# 3333 2018-02-08 00:54:16 165599.015625 good
################################################################################################################
print("Step 2: Processing bad case 1.x")
cnx_system = None
cursor_system = None
try:
cnx_system = mysql.connector.connect(**config.myems_system_db)
cursor_system = cnx_system.cursor(dictionary=True)
@ -193,23 +196,24 @@ def process(logger):
if cursor_system:
cursor_system.close()
if cnx_system:
cnx_system.close()
cnx_system.disconnect()
try:
query = (" SELECT id, point_id, actual_value "
" FROM tbl_energy_value "
" WHERE utc_date_time >= %s AND utc_date_time <= %s AND is_bad IS NOT TRUE ")
cursor.execute(query, (min_datetime, max_datetime,))
rows_energy_values = cursor.fetchall()
cursor_historical.execute(query, (min_datetime, max_datetime,))
rows_energy_values = cursor_historical.fetchall()
except Exception as e:
logger.error("Error in step 2.2 of clean_energy_value.process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
time.sleep(60)
continue
# initialize bad list
bad_list = list()
if rows_energy_values is not None and len(rows_energy_values) > 0:
@ -226,14 +230,14 @@ def process(logger):
update = (" UPDATE tbl_energy_value "
" SET is_bad = TRUE "
" WHERE id IN (" + ', '.join(map(str, bad_list)) + ")")
cursor.execute(update, )
cnx.commit()
cursor_historical.execute(update, )
cnx_historical.commit()
except Exception as e:
logger.error("Error in step 2.3 of clean_energy_value.process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
time.sleep(60)
continue
@ -380,14 +384,14 @@ def process(logger):
" FROM tbl_energy_value "
" WHERE utc_date_time >= %s AND utc_date_time <= %s AND is_bad IS NOT TRUE "
" ORDER BY point_id, utc_date_time ")
cursor.execute(query, (min_datetime, max_datetime,))
rows_energy_values = cursor.fetchall()
cursor_historical.execute(query, (min_datetime, max_datetime,))
rows_energy_values = cursor_historical.fetchall()
except Exception as e:
logger.error("Error in step 3.1 of clean_energy_value.process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
time.sleep(60)
continue
@ -416,6 +420,7 @@ def process(logger):
if len(current_point_value_list) > 0:
point_value_dict[current_point_id] = current_point_value_list
# reinitialize bad list
bad_list = list()
for point_id, point_value_list in point_value_dict.items():
@ -449,14 +454,14 @@ def process(logger):
update = (" UPDATE tbl_energy_value "
" SET is_bad = TRUE "
" WHERE id IN (" + ', '.join(map(str, bad_list)) + ")")
cursor.execute(update, )
cnx.commit()
cursor_historical.execute(update, )
cnx_historical.commit()
except Exception as e:
logger.error("Error in step 3.2 of clean_energy_value.process " + str(e))
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
time.sleep(60)
continue
@ -544,16 +549,16 @@ def process(logger):
" SET is_bad = FALSE "
" WHERE utc_date_time >= %s AND utc_date_time < %s AND is_bad IS NULL ")
# NOTE: use '<' instead of '<=' in WHERE statement because there may be some new inserted values
cursor.execute(update, (min_datetime, max_datetime,))
cnx.commit()
cursor_historical.execute(update, (min_datetime, max_datetime,))
cnx_historical.commit()
except Exception as e:
logger.error("Error in step 4 of clean_energy_value.process " + str(e))
time.sleep(60)
continue
finally:
if cursor:
cursor.close()
if cnx:
cnx.close()
if cursor_historical:
cursor_historical.close()
if cnx_historical:
cnx_historical.disconnect()
time.sleep(900)

4
myems-cleaning/config.py
View File

@ -1,4 +1,3 @@
# definition of the database
myems_system_db = {
'user': 'root',
'password': '!MyEMS1',
@ -18,7 +17,8 @@ myems_historical_db = {
# indicates how long analog values and digital values will be kept in database
# the longer days the more memory and disc space needed.
live_in_days = 365
# note: By default, energy values in historical db will never be deleted automatically.
# NOTE: By default, energy values in historical db will never be deleted automatically.
# indicates if the program is in debug mode
is_debug = False

48
web/src/components/MyEMS/CombinedEquipment/CombinedEquipmentLoad.js
View File

@ -33,6 +33,7 @@ import { comparisonTypeOptions } from '../common/ComparisonTypeOptions';
const DetailedDataTable = loadable(() => import('../common/DetailedDataTable'));
const AssociatedEquipmentTable = loadable(() => import('../common/AssociatedEquipmentTable'));
const CombinedEquipmentLoad = ({ setRedirect, setRedirectUrl, t }) => {
let current_moment = moment();
@ -87,6 +88,10 @@ const CombinedEquipmentLoad = ({ setRedirect, setRedirectUrl, t }) => {
const [detailedDataTableData, setDetailedDataTableData] = useState([]);
const [detailedDataTableColumns, setDetailedDataTableColumns] = useState([{dataField: 'startdatetime', text: t('Datetime'), sort: true}]);
const [associatedEquipmentTableData, setAssociatedEquipmentTableData] = useState([]);
const [associatedEquipmentTableColumns, setAssociatedEquipmentTableColumns] = useState([{dataField: 'name', text: t('Associated Equipment'), sort: true }]);
const [excelBytesBase64, setExcelBytesBase64] = useState(undefined);
useEffect(() => {
@ -291,6 +296,7 @@ const CombinedEquipmentLoad = ({ setRedirect, setRedirectUrl, t }) => {
// Reinitialize tables
setDetailedDataTableData([]);
setAssociatedEquipmentTableData([]);
let isResponseOK = false;
fetch(APIBaseURL + '/reports/combinedequipmentload?' +
@ -418,7 +424,44 @@ const CombinedEquipmentLoad = ({ setRedirect, setRedirectUrl, t }) => {
});
});
setDetailedDataTableColumns(detailed_column_list);
let associated_equipment_value_list = [];
if (json['associated_equipment']['associated_equipment_names_array'].length > 0) {
json['associated_equipment']['associated_equipment_names_array'][0].forEach((currentEquipmentName, equipmentIndex) => {
let associated_equipment_value = {};
associated_equipment_value['id'] = equipmentIndex;
associated_equipment_value['name'] = currentEquipmentName;
json['associated_equipment']['energy_category_names'].forEach((currentValue, energyCategoryIndex) => {
associated_equipment_value['a' + 2 * energyCategoryIndex] = json['associated_equipment']['sub_averages'][energyCategoryIndex][equipmentIndex].toFixed(2);
associated_equipment_value['a' + 2 * energyCategoryIndex + 1] = json['associated_equipment']['sub_maximums'][energyCategoryIndex][equipmentIndex].toFixed(2);
});
associated_equipment_value_list.push(associated_equipment_value);
});
};
setAssociatedEquipmentTableData(associated_equipment_value_list);
let associated_equipment_column_list = [];
associated_equipment_column_list.push({
dataField: 'name',
text: t('Associated Equipment'),
sort: true
});
json['associated_equipment']['energy_category_names'].forEach((currentValue, index) => {
let unit = json['associated_equipment']['units'][index];
associated_equipment_column_list.push({
dataField: 'a' + 2 * index,
text: currentValue + ' ' + t('Average Load') + ' (' + unit + '/H)',
sort: true
});
associated_equipment_column_list.push({
dataField: 'a' + (2 * index + 1),
text: currentValue + ' ' + t('Maximum Load') + ' (' + unit + '/H)',
sort: true
});
});
setAssociatedEquipmentTableColumns(associated_equipment_column_list);
setExcelBytesBase64(json['excel_bytes_base64']);
// enable submit button
@ -642,6 +685,9 @@ const CombinedEquipmentLoad = ({ setRedirect, setRedirectUrl, t }) => {
<br />
<DetailedDataTable data={detailedDataTableData} title={t('Detailed Data')} columns={detailedDataTableColumns} pagesize={50} >
</DetailedDataTable>
<br />
<AssociatedEquipmentTable data={associatedEquipmentTableData} title={t('Associated Equipment Data')} columns={associatedEquipmentTableColumns}>
</AssociatedEquipmentTable>
</Fragment>
);

40
web/src/components/MyEMS/CombinedEquipment/CombinedEquipmentStatistics.js
View File

@ -33,6 +33,7 @@ import { comparisonTypeOptions } from '../common/ComparisonTypeOptions';
const DetailedDataTable = loadable(() => import('../common/DetailedDataTable'));
const AssociatedEquipmentTable = loadable(() => import('../common/AssociatedEquipmentTable'));
const CombinedEquipmentStatistics = ({ setRedirect, setRedirectUrl, t }) => {
let current_moment = moment();
@ -87,6 +88,10 @@ const CombinedEquipmentStatistics = ({ setRedirect, setRedirectUrl, t }) => {
const [detailedDataTableData, setDetailedDataTableData] = useState([]);
const [detailedDataTableColumns, setDetailedDataTableColumns] = useState([{dataField: 'startdatetime', text: t('Datetime'), sort: true}]);
const [associatedEquipmentTableData, setAssociatedEquipmentTableData] = useState([]);
const [associatedEquipmentTableColumns, setAssociatedEquipmentTableColumns] = useState([{dataField: 'name', text: t('Associated Equipment'), sort: true }]);
const [excelBytesBase64, setExcelBytesBase64] = useState(undefined);
useEffect(() => {
@ -291,6 +296,7 @@ const CombinedEquipmentStatistics = ({ setRedirect, setRedirectUrl, t }) => {
// Reinitialize tables
setDetailedDataTableData([]);
setAssociatedEquipmentTableData([]);
let isResponseOK = false;
fetch(APIBaseURL + '/reports/combinedequipmentstatistics?' +
@ -416,6 +422,37 @@ const CombinedEquipmentStatistics = ({ setRedirect, setRedirectUrl, t }) => {
})
});
setDetailedDataTableColumns(detailed_column_list);
let associated_equipment_value_list = [];
if (json['associated_equipment']['associated_equipment_names_array'].length > 0) {
json['associated_equipment']['associated_equipment_names_array'][0].forEach((currentEquipmentName, equipmentIndex) => {
let associated_equipment_value = {};
associated_equipment_value['id'] = equipmentIndex;
associated_equipment_value['name'] = currentEquipmentName;
json['associated_equipment']['energy_category_names'].forEach((currentValue, energyCategoryIndex) => {
associated_equipment_value['a' + energyCategoryIndex] = json['associated_equipment']['subtotals_array'][energyCategoryIndex][equipmentIndex].toFixed(2);
});
associated_equipment_value_list.push(associated_equipment_value);
});
};
setAssociatedEquipmentTableData(associated_equipment_value_list);
let associated_equipment_column_list = [];
associated_equipment_column_list.push({
dataField: 'name',
text: t('Associated Equipment'),
sort: true
});
json['associated_equipment']['energy_category_names'].forEach((currentValue, index) => {
let unit = json['associated_equipment']['units'][index];
associated_equipment_column_list.push({
dataField: 'a' + index,
text: currentValue + ' (' + unit + ')',
sort: true
});
});
setAssociatedEquipmentTableColumns(associated_equipment_column_list);
setExcelBytesBase64(json['excel_bytes_base64']);
@ -657,6 +694,9 @@ const CombinedEquipmentStatistics = ({ setRedirect, setRedirectUrl, t }) => {
<br />
<DetailedDataTable data={detailedDataTableData} title={t('Detailed Data')} columns={detailedDataTableColumns} pagesize={50} >
</DetailedDataTable>
<br />
<AssociatedEquipmentTable data={associatedEquipmentTableData} title={t('Associated Equipment Data')} columns={associatedEquipmentTableColumns}>
</AssociatedEquipmentTable>
</Fragment>
);