def ReadHVACdesignLoads(resultpath):
'''
:return:
'''
filehandle = open(resultpath, 'r').read()
tables = readhtml.lines_table(filehandle)
line2 = 'Estimated Cooling Peak Load Components'
line3 = 'Estimated Heating Peak Load Components'
d = {}
i = 1
for table2 in tables:
if line2 in table2[0]:
targettable = table2[-1]
d['Zonename' + str(i)] = str(table2[0][2]).split(": ")[1]
d['LoadClg_' + d['Zonename' + str(i)]] = targettable[26][5]
d['LoadClg' + d['Zonename' + str(i)] +
'_Latent'] = targettable[26][4]
d['LoadClg' + d['Zonename' + str(i)] +
'_Sensible'] = targettable[26][1] + targettable[26][2]
elif line3 in table2[0]:
targettable2 = table2[-1]
d['LoadHtg_' + d['Zonename' + str(i)]] = targettable2[26][5]
d['LoadHtg' + d['Zonename' + str(i)] +
'_Latent'] = targettable2[26][4]
d['LoadHtg' + d['Zonename' + str(i)] +
'_Sensible'] = targettable2[26][1] + targettable2[26][2]
i += 1
return d
def test_lines_table():
"""py.test for lines_table"""
# soup = BeautifulSoup(SAMPLE_HTML)
result = readhtml.lines_table(SAMPLE_HTML, False)
assert result == [[[
'Table of Contents',
'Report: Annual Building Utility Performance Summary',
'For: Entire Facility', 'Timestamp: 2014-01-13\n 16:47:19',
'Values gathered over 8760.00 hours', 'Site and Source Energy'
], [['a', '2'], ['3', '4']]],
[['Site to Source Energy Conversion Factors'],
[['b', '6'], ['7', '8']]],
[[
'Report: COMPONENTS OF PEAK ELECTRICAL DEMAND',
'For: Meter', 'Timestamp: 2014-01-13\n 16:47:19',
'Custom Monthly Report'
], [['c', '16'], ['17', '18']]],
[[
'Report: COMPONENTS OF PEAK NET ELECTRICAL DEMAND',
'For: Meter', 'Timestamp: 2014-01-13\n 16:47:19',
'Custom Monthly Report'
], [['d', '26'], ['27', '28']]]]
def test_lines_table():
"""py.test for lines_table"""
# soup = BeautifulSoup(SAMPLE_HTML)
result = readhtml.lines_table(SAMPLE_HTML, False)
assert result == [
[
[
'Table of Contents',
'Report: Annual Building Utility Performance Summary',
'For: Entire Facility',
'Timestamp: 2014-01-13\n 16:47:19',
'Values gathered over 8760.00 hours',
'Site and Source Energy'
],
[['a', '2'], ['3', '4']]
],
[
['Site to Source Energy Conversion Factors'],
[['b', '6'], ['7', '8']]
],
[
[
'Report: COMPONENTS OF PEAK ELECTRICAL DEMAND',
'For: Meter',
'Timestamp: 2014-01-13\n 16:47:19',
'Custom Monthly Report'
],
[['c', '16'], ['17', '18']]],
[
[
'Report: COMPONENTS OF PEAK NET ELECTRICAL DEMAND',
'For: Meter',
'Timestamp: 2014-01-13\n 16:47:19',
'Custom Monthly Report'
],
[['d', '26'], ['27', '28']]
]]
def test_lines_table():
"""py.test for lines_table"""
# soup = BeautifulSoup(SAMPLE_HTML)
result = readhtml.lines_table(SAMPLE_HTML, False)
assert result == [
[
[
"Table of Contents",
"Report: Annual Building Utility Performance Summary",
"For: Entire Facility",
"Timestamp: 2014-01-13\n 16:47:19",
"Values gathered over 8760.00 hours",
"Site and Source Energy",
],
[["a", "2"], ["3", "4"]],
],
[["Site to Source Energy Conversion Factors"], [["b", "6"], ["7",
"8"]]],
[
[
"Report: COMPONENTS OF PEAK ELECTRICAL DEMAND",
"For: Meter",
"Timestamp: 2014-01-13\n 16:47:19",
"Custom Monthly Report",
],
[["c", "16"], ["17", "18"]],
],
[
[
"Report: COMPONENTS OF PEAK NET ELECTRICAL DEMAND",
"For: Meter",
"Timestamp: 2014-01-13\n 16:47:19",
"Custom Monthly Report",
],
[["d", "26"], ["27", "28"]],
],
]
def ReadHVACdesignLoads(resultsdir):
'''
This function is used to read the HVAC peak load results from ZoneComponentSummary Report generated from the AirIdealLoads simulation
:param resultsdir : This is the directory where the results for the first simulation are stored
:return: This function returns a dictionary with zonenames, heating peak loads, and cooling peak loads
'''
resultpath = resultsdir + '\\eplustbl.htm'
filehandle = open(resultpath, 'r').read()
tables = readhtml.lines_table(filehandle)
line2 = 'Estimated Cooling Peak Load Components'
line3 = 'Estimated Heating Peak Load Components'
d = {}
i = 1
for table2 in tables:
if line2 in table2[0]:
targettable = table2[-1]
d['Zonename' + str(i)] = str(table2[0][2]).split(": ")[1]
d['LoadClg_' + d['Zonename' + str(i)]] = targettable[26][5]
elif line3 in table2[0]:
targettable2 = table2[-1]
d['LoadHtg_' + d['Zonename' + str(i)]] = targettable2[26][5]
i += 1
return d
