提交 75bccd23 编写于 作者: nengyuangzhang's avatar nengyuangzhang

updated microgrid report

上级 71b5a840
from datetime import datetime, timedelta, timezone
from decimal import Decimal
import falcon
import mysql.connector
import simplejson as json
......@@ -150,8 +151,31 @@ class Reporting:
"cost_center": cost_center,
"description": row[12],
"qrcode": 'microgrid:' + row[2]}
meter_list = list()
point_list = list()
meter_list = list()
energy_category_set = set()
# query all energy categories in system
cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e "
" FROM tbl_energy_categories "
" ORDER BY id ", )
rows_energy_categories = cursor_system.fetchall()
if rows_energy_categories is None or len(rows_energy_categories) == 0:
if cursor_system:
cursor_system.close()
if cnx_system:
cnx_system.close()
raise falcon.HTTPError(status=falcon.HTTP_404,
title='API.NOT_FOUND',
description='API.ENERGY_CATEGORY_NOT_FOUND')
energy_category_dict = dict()
for row_energy_category in rows_energy_categories:
energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1],
"unit_of_measure": row_energy_category[2],
"kgce": row_energy_category[3],
"kgco2e": row_energy_category[4]}
################################################################################################################
# Step 3: query associated batteries
################################################################################################################
......@@ -166,6 +190,28 @@ class Reporting:
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_batteries mb, tbl_meters m "
" WHERE mb.id = %s AND mb.charge_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_batteries mb, tbl_meters m "
" WHERE mb.id = %s AND mb.discharge_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 4: query associated converters
################################################################################################################
......@@ -183,6 +229,17 @@ class Reporting:
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_evchargers mb, tbl_meters m "
" WHERE mb.id = %s AND mb.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 6: query associated generators
################################################################################################################
......@@ -196,6 +253,17 @@ class Reporting:
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_generators mb, tbl_meters m "
" WHERE mb.id = %s AND mb.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 7: query associated grids
################################################################################################################
......@@ -209,6 +277,29 @@ class Reporting:
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_grids mb, tbl_meters m "
" WHERE mb.id = %s AND mb.buy_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_grids mb, tbl_meters m "
" WHERE mb.id = %s AND mb.sell_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 8: query associated heatpumps
################################################################################################################
......@@ -222,6 +313,40 @@ class Reporting:
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_heatpumps mb, tbl_meters m "
" WHERE mb.id = %s AND mb.electricity_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_heatpumps mb, tbl_meters m "
" WHERE mb.id = %s AND mb.heat_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_heatpumps mb, tbl_meters m "
" WHERE mb.id = %s AND mb.cooling_meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 9: query associated inverters
################################################################################################################
......@@ -239,6 +364,17 @@ class Reporting:
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_loads mb, tbl_meters m "
" WHERE mb.id = %s AND mb.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 11: query associated photovoltaics
################################################################################################################
......@@ -252,6 +388,17 @@ class Reporting:
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_photovoltaics mb, tbl_meters m "
" WHERE mb.id = %s AND mb.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 12: query associated sensors
################################################################################################################
......@@ -269,19 +416,70 @@ class Reporting:
"name": row_point[1],
"units": row_point[2],
"object_type": row_point[3]})
cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id "
" FROM tbl_microgrids_windturbines mb, tbl_meters m "
" WHERE mb.id = %s AND mb.meter_id = m.id ",
(microgrid_id,))
row_meter = cursor_system.fetchone()
if row_meter is not None:
meter_list.append({"id": row_meter[0],
"name": row_meter[1],
"energy_category_id": row_meter[2]})
energy_category_set.add(row_meter[2])
################################################################################################################
# Step 14: query associated meters data
################################################################################################################
cnx_historical = mysql.connector.connect(**config.myems_historical_db)
cursor_historical = cnx_historical.cursor()
timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
if config.utc_offset[0] == '-':
timezone_offset = -timezone_offset
cnx_energy = mysql.connector.connect(**config.myems_energy_db)
cursor_energy = cnx_energy.cursor()
reporting = dict()
meter_report_list = list()
if energy_category_set is not None and len(energy_category_set) > 0:
for energy_category_id in energy_category_set:
for meter in meter_list:
if energy_category_id != meter['energy_category_id']:
continue
cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
" FROM tbl_meter_hourly "
" WHERE meter_id = %s "
" AND start_datetime_utc >= %s "
" AND start_datetime_utc < %s "
" ORDER BY start_datetime_utc ",
(meter['id'],
reporting_start_datetime_utc,
reporting_end_datetime_utc))
rows_meter_hourly = cursor_energy.fetchall()
if rows_meter_hourly is not None and len(rows_meter_hourly) > 0:
meter_report = dict()
meter_report['timestamps'] = list()
meter_report['values'] = list()
meter_report['subtotal'] = Decimal(0.0)
for row_meter_hourly in rows_meter_hourly:
current_datetime_local = row_meter_hourly[0].replace(tzinfo=timezone.utc) + \
timedelta(minutes=timezone_offset)
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
actual_value = Decimal(0.0) if row_meter_hourly[1] is None else row_meter_hourly[1]
meter_report['timestamps'].append(current_datetime)
meter_report['values'].append(actual_value)
meter_report['subtotal'] += actual_value
meter_report['meter_name'] = meter['name']
meter_report_list.append(meter_report)
################################################################################################################
# Step 15: query associated points data
################################################################################################################
cnx_historical = mysql.connector.connect(**config.myems_historical_db)
cursor_historical = cnx_historical.cursor()
parameters_data = dict()
parameters_data['names'] = list()
parameters_data['timestamps'] = list()
......@@ -359,4 +557,21 @@ class Reporting:
"timestamps": parameters_data['timestamps'],
"values": parameters_data['values']
}
result['reporting_period'] = dict()
result['reporting_period']['names'] = list()
result['reporting_period']['energy_category_ids'] = list()
result['reporting_period']['units'] = list()
result['reporting_period']['timestamps'] = list()
result['reporting_period']['values'] = list()
result['reporting_period']['subtotals'] = list()
if energy_category_set is not None and len(energy_category_set) > 0:
for energy_category_id in energy_category_set:
result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name'])
result['reporting_period']['energy_category_ids'].append(energy_category_id)
result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure'])
# result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps'])
# result['reporting_period']['values'].append(reporting[energy_category_id]['values'])
# result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal'])
resp.text = json.dumps(result)
......@@ -73,9 +73,9 @@ const Microgrid = ({ setRedirect, setRedirectUrl, t }) => {
const [parameterLineChartData, setParameterLineChartData] = useState({});
const [parameterLineChartOptions, setParameterLineChartOptions] = useState([]);
const [microgridReportingLabels, setmicrogridReportingLabels] = useState({"a0": []});
const [microgridReportingData, setmicrogridReportingData] = useState({"a0": []});
const [microgridReportingOptions, setmicrogridReportingOptions] = useState([]);
const [microgridReportingLabels, setMicrogridReportingLabels] = useState({"a0": []});
const [microgridReportingData, setMicrogridReportingData] = useState({"a0": []});
const [microgridReportingOptions, setMicrogridReportingOptions] = useState([]);
useEffect(() => {
let isResponseOK = false;
......@@ -201,6 +201,25 @@ const Microgrid = ({ setRedirect, setRedirectUrl, t }) => {
names.push({ 'value': 'a' + index, 'label': currentValue });
});
setParameterLineChartOptions(names);
let reporting_timestamps = {}
json['reporting_period']['timestamps'].forEach((currentValue, index) => {
reporting_timestamps['a' + index] = currentValue;
});
setMicrogridReportingLabels(reporting_timestamps);
let reporting_values = {}
json['reporting_period']['values'].forEach((currentValue, index) => {
reporting_values['a' + index] = currentValue;
});
setMicrogridReportingData(reporting_values);
let options = Array();
json['reporting_period']['names'].forEach((currentValue, index) => {
let unit = json['reporting_period']['units'][index];
options.push({ 'value': 'a' + index, 'label': currentValue + ' (' + unit + ')'});
});
setMicrogridReportingOptions(options);
}
})
.catch(err => {
......@@ -239,25 +258,25 @@ const Microgrid = ({ setRedirect, setRedirectUrl, t }) => {
</CardBody>
</Card>
<div className="card-deck">
<CardSummary rate="-0.23%" title="PV Generation" color="info" footnote="Today">
<CardSummary rate="-0.23%" title="PV Generation" color="info" footnote="in 24 Hours">
{8888 && <CountUp end={8888} duration={2} prefix="" separator="," decimal="." decimals={2} />}
</CardSummary>
<CardSummary rate="-0.23%" title="Battery Charged" color="info" footnote="Today">
<CardSummary rate="-0.23%" title="Battery Charged" color="info" footnote="in 24 Hours">
{8888 && <CountUp end={8888} duration={2} prefix="" separator="," decimal="." decimals={2} />}
</CardSummary>
<CardSummary rate="-0.23%" title="Battery Discharged" color="info" footnote="Today">
<CardSummary rate="-0.23%" title="Battery Discharged" color="info" footnote="in 24 Hours">
{8888 && <CountUp end={8888} duration={2} prefix="" separator="," decimal="." decimals={2} />}
</CardSummary>
<CardSummary rate="-0.23%" title="Bought from Grid" color="info" footnote="Today">
<CardSummary rate="-0.23%" title="Bought from Grid" color="info" footnote="in 24 Hours">
{8888 && <CountUp end={8888} duration={2} prefix="" separator="," decimal="." decimals={2} />}
</CardSummary>
<CardSummary rate="-0.23%" title="Sold to Grid" color="info" footnote="Today">
<CardSummary rate="-0.23%" title="Sold to Grid" color="info" footnote="in 24 Hours">
{8888 && <CountUp end={8888} duration={2} prefix="" separator="," decimal="." decimals={2} />}
</CardSummary>
<CardSummary rate="-0.23%" title="Load Consumption" color="info" footnote="Today">
<CardSummary rate="-0.23%" title="Load Consumption" color="info" footnote="in 24 Hours">
{8888 && <CountUp end={8888} duration={2} prefix="" separator="," decimal="." decimals={2} />}
</CardSummary>
<CardSummary rate="-0.23%" title="Earnings" color="info" footnote="Today">
<CardSummary rate="-0.23%" title="Earnings" color="info" footnote="in 24 Hours">
{8888 && <CountUp end={8888} duration={2} prefix="" separator="," decimal="." decimals={2} />}
</CardSummary>
</div>
......
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