def get_request_df(room):
row = rooms_and_sensors[rooms_and_sensors['Label'] == str(room)]
if not row.empty:
try:
temp_value, temp_units = get_value(row['Facility'].iloc[0],
row['Temperature'].iloc[0],
True)
co2_value, co2_units = get_value(row['Facility'].iloc[0],
row['CO2'].iloc[0], True)
except requests.exceptions.ConnectionError:
raise ConnectionError(
"Unable to get data. Are you connected to the right WiFi network?"
)
# Prepare to print
temp_value = int(temp_value) if temp_value else ''
temp_units = temp_units if temp_units else ''
co2_value = int(co2_value) if co2_value else ''
co2_units = co2_units if co2_units else ''
df_dictionary = {
'room': [room if temp_value and temp_units else ''],
# If there's no data, leave the dictionary empty so the failsafe below catches it
'temperature': [temp_value],
'temperature units': [temp_units],
'co2': [co2_value],
'co2 units': [co2_units]
}
if not df_dictionary:
return None
return pd.DataFrame.from_dict(df_dictionary)
else:
return None
def save_baseline( csv_filename, column_name, oid_row ):
# Retrieve data, retrying if necessary
facility = oid_row['Facility']
oid = oid_row[column_name]
row_label = oid_row['Label']
for i in range( 1, 6 ):
value, units = get_value( facility, oid, args.hostname, args.port, live=True )
value = int( value )
view_id, column_id, row_id = baselines_db.save_baseline_value( csv_filename, column_name, row_label, value, units, timestamp_id )
report_baseline( view_id, column_id, row_id, row_label, value, units, facility, oid )
break
def ReadAllMeters():
# Iterate over the rows of the dataframe, getting temperature and CO2 values for each Feeder
for index, row in df.iterrows():
# Retrieve data
kW_value, kW_units = get_value(row['Facility'], row['Power'],
args.hostname, args.port)
kWh_value, kWh_units = get_value(row['Facility'], row['Energy'],
args.hostname, args.port)
currentDT = datetime.datetime.now()
# Prepare to print
kW_value = round(float(kW_value)) if kW_value else ''
kW_units = kW_units if kW_units else ''
kWh_value = round(float(kWh_value)) if kWh_value else ''
kWh_units = kWh_units if kWh_units else ''
# Output CSV format
print('{0},{1},{2},{3},{4},{5}'.format(
currentDT.strftime("%Y-%m-%d %H:%M:%S"), row['Label'], kW_value,
kW_units, kWh_value, kWh_units))
# Copyright 2018 Building Energy Gateway. All rights reserved.
import time
import numbers
from building_data_requests import get_value
from simple_power_request import request_list
start_time = time.time()
# Iterate through list of requests
for request in request_list:
# Issue next request
value, units = get_value(request['facility'], request['instance'])
# Prepare to print results
value = int(value) if isinstance(value, numbers.Number) else ''
units = units if units else ''
# Output result
print('{0}: {1} {2}'.format(request['label'], value, units))
# Report elapsed time
elapsed_time = round((time.time() - start_time) * 1000) / 1000
print('\nElapsed time: {0} seconds'.format(elapsed_time))
# Copyright 2018 Building Energy Gateway. All rights reserved.
from building_data_requests import get_value
value, units = get_value('ahs', 3007360)
print('AHS Main: {0} {1}'.format(int(value), units))
temp_value, temp_units = get_value('ahs', 3001489)
co2_value, co2_units = get_value('ahs', 3001477)
print('AHS 351: {0} {1} | CO2 {2} {3}'.format(int(temp_value), temp_units,
int(co2_value), co2_units))
# - Label
# - Facility
# - Instance ID of CO2 sensor
# - Instance ID of temperature sensor
df = pd.read_csv('ahs_air.csv', na_filter=False, comment='#')
# Output column headings
print('Location,Temperature,Temperature Units,CO2,CO2 Units')
with open('ahs_air_data.csv', mode='w') as ahs_air_data:
temp_writer = csv.writer(ahs_air_data, delimiter=";")
# Iterate over the rows of the dataframe, getting temperature and CO2 values for each location
for index, row in df.iterrows():
# Retrieve data
temp_value, temp_units = get_value(row['Facility'],
row['Temperature'])
co2_value, co2_units = get_value(row['Facility'], row['CO2'])
# Prepare to print
temp_value = int(temp_value) if isinstance(temp_value,
numbers.Number) else ''
temp_units = temp_units if temp_units else ''
co2_value = int(co2_value) if isinstance(co2_value,
numbers.Number) else ''
co2_units = co2_units if co2_units else ''
# Output CSV format
temp_writer.writerow([
'{0},{1},{2},{3},{4}'.format(row['Label'], temp_value,
temp_units, co2_value, co2_units)
# Copyright 2018 Building Energy Gateway. All rights reserved.
from building_data_requests import get_value
value, units = get_value('ahs-ws', 'temperature')
print('AHS Weather Station - Temperature: {0} {1}'.format(value, units))
import pandas as pd
from building_data_requests import get_value
import numbers
start_time = time.time()
# Read spreadsheet into a dataframe.
# Each row contains the following:
# - Label
# - Facility
# - Instance ID of electric meter
df = pd.read_csv('../csv/aps_power.csv')
df = df.sort_values(by='Label', ascending=True)
# Iterate over dataframe, getting values for each row
for index, row in df.iterrows():
# Retrieve data
value, units = get_value(row['Facility'], row['Meter'])
# Prepare to print
value = int(value) if isinstance(value, numbers.Number) else ''
units = units if units else ''
# Output result
print('{0}: {1} {2}'.format(row['Label'], value, units))
# Report elapsed time
elapsed_time = round((time.time() - start_time) * 1000) / 1000
print('\nElapsed time: {0} seconds'.format(elapsed_time))
def get_value(self):
return get_value(self.facility, self.sensor)
from pylive import live_plotter_xy, get_plot
import numpy as np
import time
import sys
sys.path.insert(1, '/home/justin/PycharmProjects/buildingEnergyApi/py')
from building_data_requests import get_value
x_vec = np.full(1, 0)
kW, units = get_value('ahs', 3007360)
y_vec1 = np.full(len(x_vec), int(kW))
# kW, units = get_value('west_middle-12', 3027266) # West Middle
# y_vec2 = np.full(len(x_vec), int(kW))
line1 = []
# line2 = []
wait_time = 5 # seconds
elapsed_time = 0
while True:
kW, units = get_value('ahs', 3007360)
y_vec1 = np.append(y_vec1, int(kW))
x_vec = np.append(int(x_vec[0] - wait_time), x_vec)
# kW, units = get_value('west_middle-12', 3027266) # West Middle
# y_vec2 = np.append(y_vec2, int(kW))
line1 = live_plotter_xy(x_vec,
y_vec1,
def get_value(self, index):
# queries using facility and meter
value, self.units = get_value(self.sensors[index][1], self.sensors[index][2])
return value
# Read spreadsheet into a dataframe.
# Each row contains the following:
# - Location
# - Instance ID of CO2 sensor
# - Instance ID of temperature sensor
df = pd.read_csv( '../csv/ahs_air.csv', na_filter=False, comment='#' )
# Output column headings
print( 'Location,Temperature,Temperature Units,CO2,CO2 Units' )
# Iterate over the rows of the dataframe, getting temperature and CO2 values for each location
for index, row in df.iterrows():
# Retrieve data
temp_value, temp_units = get_value( row['Facility'], row['Temperature'], args.hostname, args.port )
co2_value, co2_units = get_value( row['Facility'], row['CO2'], args.hostname, args.port )
# Prepare to print
temp_value = round( float( temp_value ) ) if temp_value else ''
temp_units = temp_units if temp_units else ''
co2_value = round( float( co2_value ) ) if co2_value else ''
co2_units = co2_units if co2_units else ''
# Output CSV format
print( '{0},{1},{2},{3},{4}'.format( row['Label'], temp_value, temp_units, co2_value, co2_units ) )
except KeyboardInterrupt:
print( 'Bye' )
sys.exit()