Files
CoolProp/dev/mixtures/TableA7_to_JSON.py
2014-05-14 12:46:24 +02:00

63 lines
1.6 KiB
Python

from CoolProp.CoolProp import get_fluid_param_string
lines = open('KunzWagner2012_TableA7.txt','r').read()
template = """{{"Name1" : "{Name1:s}",
"Name2" : "{Name2:s}",
"CAS1" : "{CAS1:s}",
"CAS2" : "{CAS2:s}",
"d" : {d:s},
"t" : {t:s},
"n" : {n:s},
"eta" : {eta:s},
"epsilon" : {epsilon:s},
"beta": {beta:s},
"gamma": {gamma:s}
}},"""
chunks = lines.split('\n\n')
for chunk in chunks:
lines = chunk.split('\n')
D,T,N,ETA,EPSILON,BETA,GAMMA = [0],[0],[0],[0],[0],[0],[0]
names = lines.pop(0)
for line in lines:
vals = line.strip().split(' ')
if len(vals) == 4:
i, d, t, n = vals
eta = 0
epsilon = 0
beta = 0
gamma = 0
else:
i, d, t, n, eta, epsilon, beta, gamma = vals
D.append(int(d))
T.append(float(t))
N.append(float(n))
ETA.append(float(eta))
EPSILON.append(float(epsilon))
BETA.append(float(beta))
GAMMA.append(float(gamma))
name1,name2 = names.split('/')
CAS1 = get_fluid_param_string(name1,'CAS')
CAS2 = get_fluid_param_string(name2,'CAS')
print template.format(Name1 = name1,
Name2 = name2,
CAS1 = CAS1,
CAS2 = CAS2,
d = str(D),
t = str(T),
n = str(N),
eta = str(ETA),
epsilon= str(EPSILON),
beta = str(BETA),
gamma = str(GAMMA)
)