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CoolProp/dev/mixtures/TableA7_to_JSON.py
2019-01-12 20:48:56 -07:00

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)
))