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SamBaseClass with input and output jsons.
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@vikas3v
vikas3v committed Jul 2, 2019
1 parent ad6593d commit 401c460
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185 changes: 131 additions & 54 deletions SAM/SamBaseClass.py
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Original file line number Diff line number Diff line change
@@ -1,8 +1,6 @@


from SAM.PySSC import PySSC
import logging, json
import ast
import logging, json, os
from pathlib import Path

class SamBaseClass(object):
"""description of class"""
Expand All @@ -22,67 +20,116 @@ def main(self):
self.ssc = PySSC()
self.create_ssc_module()
self.data = self.ssc.data_create()
self.varList = self.collect_all_vars_from_json()
self.set_data(self.varList)

self.samPath = Path(__file__).resolve().parent
#self.samPath = Path("source_data/text_files/")
self.cspModel = "TcslinearFresnel_DSLF"
self.financialModel = "LeveragedPartnershipFlip"
self.weatherFile = 'C:\\SAM/2018.11.11\\solar_resource\\USA_AZ_Tucson_32.116699_-110.932999_psmv3_60_tmy.csv'
self.varListCsp = self.collect_model_variables()
#self.varListCsp = self.collect_all_vars_from_json(samPath + "/models/inputs/" + self.cspModel + ".json")
self.set_data(self.varListCsp)
self.module_create_execute('tcslinear_fresnel')

#self.varListFin = self.collect_all_vars_from_json(samPath + "/models/inputs/" + self.financialModel + ".json")
#self.set_data(self.varListFin)
self.module_create_execute('levpartflip')

self.print_impParams()
self.data_free()


def collect_all_vars_from_json(self):
with open(r"D:\Drive\Thesis\Github\DOE_CSP_PROJECT\SAM\models\tcslinear_fresnel.json", "r") as read_file:
ssc_json = json.load(read_file)
all_variables = []
def collect_model_variables(self):

#ssc_json dictionary has all the data
for model, tabsOrVars in ssc_json.items():
#Tabs or variables present in the main json
for tabOrVar in tabsOrVars:
json_files = []
cspPath = self.cspModel + '_inputs.json'
finPath = self.financialModel + '_inputs.json'
json_files.append(Path(self.samPath / "models" / "inputs" / cspPath))
json_files.append(Path(self.samPath / "models" / "inputs" / finPath))

cspValues = self.cspModel + self.financialModel + ".json"
finValues = "Levpartflip_DSLFLeveragedPartnershipFlip.json"
json_values = []
json_values.append( Path(self.samPath / "defaults" /cspValues))
json_values.append( Path(self.samPath / "defaults" /finValues))
variableValues = []

i = 0
for json_file in json_files:
all_variables = []
with open(json_file, "r") as read_file:
ssc_json = json.load(read_file)
with open(json_values[i], "r") as read_file:
values_json = json.load(read_file)
i = i + 1
#ssc_json dictionary has all the data
for model, tabsOrVars in ssc_json.items():
#Tabs or variables present in the main json
for tabOrVar in tabsOrVars:
try:
tabs = tabOrVar['tabs']
# Iterate over all tabs in the json.
for tab in tabs:
for tabName, sectsOrVars in tab.items():
for sectOrVar in sectsOrVars:
try:
sects = sectOrVar['sections']
# Iterate over all sections in the json.
for sect in sects:
for sectName, subSectsOrVars in sect.items():
for subSectOrVar in subSectsOrVars:
try:
subSect = subSectOrVar['subsections']
# Iterate over all subsections in the json.
for subSector in subSect:
for subSectName, variables in subSector.items():
# Add variables in a subsection.
for variable in variables:
all_variables.append(variable)
# Add variables that does not belong to any subsection, but is in a section.
except KeyError:
all_variables.append(subSectOrVar)
# Add variables that does not belong to any section, but is in a tab.
except KeyError:
all_variables.append(sectOrVar)
# Add variables that does not belong to any tab.
except KeyError:
all_variables.append(tabOrVar)


for variable in all_variables:
if variable['name'] == 'file_name':
varValue = self.weatherFile
elif variable['name'] == 'gen':
varValue = 0.050000001
else:
varValue = values_json['defaults'][variable['group']][variable['name']]
try:
tabs = tabOrVar['tabs']
# Iterate over all tabs in the json.
for tab in tabs:
for tabName, sectsOrVars in tab.items():
for sectOrVar in sectsOrVars:
try:
sects = sectOrVar['sections']
# Iterate over all sections in the json.
for sect in sects:
for sectName, subSectsOrVars in sect.items():
for subSectOrVar in subSectsOrVars:
try:
subSect = subSectOrVar['subsections']
# Iterate over all subsections in the json.
for subSector in subSect:
for subSectName, variables in subSector.items():
# Add variables in a subsection.
for variable in variables:
all_variables.append(variable)
# Add variables that does not belong to any subsection, but is in a section.
except KeyError:
all_variables.append(subSectOrVar)
# Add variables that does not belong to any section, but is in a tab.
except KeyError:
all_variables.append(sectOrVar)
# Add variables that does not belong to any tab.
variableValues.append({'name': variable['name'],
'value': varValue,
'datatype': variable['datatype'],
'constraint': variable['constraint'] })
except KeyError:
all_variables.append(tabOrVar)
return all_variables
variableValues.append({'name': variable['name'],
'value': varValue,
'datatype': variable['datatype'] })

def set_data(self, variables):
with open(r"D:\Drive\Thesis\Data\Json\samLinearFresnelDirectSteam.json", "r") as read_file:
ssc_json = json.load(read_file)
#variable.valu
return variableValues


def set_data(self, variables):

# Map all the strings present in the json file.
stringsInJson = {}
added_variables = {}

# Increment complete TODOs count for each user.
try:
for ssc_var in variables:

for ssc_var in variables:
try:
#Checking if the variable value is present in the json and if value of the variable is a valid one.
if ("value" in ssc_var and ssc_var["value"] != "#N/A"):
if ("value" in ssc_var and ssc_var["value"] != "#N/A" and ssc_var["value"] != ""):
# Add value to the dictionary.


Expand All @@ -95,17 +142,17 @@ def set_data(self, variables):
added_variables[varName] = True

elif (ssc_var["datatype"] == "SSC_ARRAY"):
varValue = ast.literal_eval( ssc_var["value"] )
varValue = ssc_var["value"] #ast.literal_eval( ssc_var["value"] )
self.ssc.data_set_array( self.data, b''+ varName.encode("ascii", "backslashreplace"), varValue )
added_variables[varName] = True

elif (ssc_var["datatype"] == "SSC_MATRIX"):
varValue = ast.literal_eval( ssc_var["value"] )
varValue = ssc_var["value"] #ast.literal_eval( ssc_var["value"] )
self.ssc.data_set_matrix( self.data, b''+ varName.encode("ascii", "backslashreplace"), varValue)
added_variables[varName] = True

elif (ssc_var["datatype"] == "SSC_NUMBER"):
varValue = ast.literal_eval( ssc_var["value"] )
varValue = ssc_var["value"] #ast.literal_eval( ssc_var["value"] )
if "constraint" in ssc_var:
if (ssc_var["constraint"] == "INTEGER"):
self.ssc.data_set_number( self.data, b''+ varName.encode("ascii", "backslashreplace"), int(varValue))
Expand All @@ -127,9 +174,11 @@ def set_data(self, variables):
raise Exception("Specified variable type for SAM file from the JSON is not found in definitions.")
stringsInJson[varName] = varValue

except Exception as error:
self.logger.critical(error)
self.logger.info(stringsInJson)
except Exception as error:
self.logger.critical(error)
print(error)
print(ssc_var)
self.logger.info(stringsInJson)

def module_create_execute(self, module):
module1 = self.ssc.module_create(b'' + module.encode("ascii", "backslashreplace"))
Expand Down Expand Up @@ -162,12 +211,40 @@ def data_free(self):
self.ssc.data_clear(self.data)

def print_impParams(self):
cspOuts = self.cspModel + "_outputs.json"

output_values = Path(self.samPath / "models" / "outputs" / cspOuts)
with open(output_values, "r") as read_file:
outputs_json = json.load(read_file)
output_vars = []
for outputs in outputs_json['TcslinearFresnel_LFDS']:
output_vars.append(outputs['Name'])

outputs = []
for variable in output_vars:
if variable == 'twet': continue
value = self.ssc.data_get_number(self.data, variable.encode('utf-8'));#bytes(variable, 'utf-8'));
arrayVal = self.ssc.data_get_array(self.data, variable.encode('utf-8'));
outputs.append({'name': variable,
'value': value,
'array': arrayVal})

capacity_factor = self.ssc.data_get_number(self.data, b'capacity_factor');
print ('\nCapacity factor (year 1) = ', capacity_factor)
# annual_total_water_use = self.ssc.data_get_number(self.data, b'annual_total_water_use');
# print ('Annual Water Usage = ', annual_total_water_use)
annual_energy = self.ssc.data_get_number(self.data, b'annual_energy');
print ('Annual energy (year 1) = ', annual_energy)

outputs.append({'name': 'capacity_factor',
'value': capacity_factor})

outputs.append({'name': 'annual_energy',
'value': annual_energy})
json_outfile = 'sample.json'
with open(json_outfile, 'w') as outfile:
json.dump(outputs, outfile)
#print ('outputs = ', outputs)


#Setup logging for the SAM modules
Expand Down
8 changes: 5 additions & 3 deletions SAM/defaults/TcslinearFresnel_DSLFLeveragedPartnershipFlip.json
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Original file line number Diff line number Diff line change
Expand Up @@ -279,8 +279,8 @@
"x_b_des": 0.75
},
"Heliostat": {
"csp_lf_sf_washes_per_year": 120,
"csp_lf_sf_water_per_wash": 0.02
"csp.lf.sf.washes_per_year": 120,
"csp.lf.sf.water_per_wash": 0.02
},
"Powerblock": {
"CT": 2,
Expand Down Expand Up @@ -316,7 +316,9 @@
"startup_time": 0.35
},
"AdjustmentFactors": {
"constant": 4
"adjust:constant": 4,
"adjust:hourly": "",
"adjust:periods": ""
}
}
}
1 change: 1 addition & 0 deletions SAM/models/inputs/LeveragedPartnershipFlip_inputs.json
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1 change: 1 addition & 0 deletions SAM/models/inputs/TcslinearFresnel_DSLF_inputs.json
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