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trexio/src/generator.py

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import json
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from os import listdir
from os.path import isfile, join
with open('../trex.json', 'r') as f:
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config0 = json.load(f)
print('Metadata I/O currently not supported')
# TODO, for now remove metadata-related stuff
del config0['metadata']
config = {}
for k,v in config0.items():
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if k == 'nucleus' or k == 'ecp':
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config[k] = v
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#print(config)
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groups = [group for group in config.keys()]
dim_variables = {}
dim_list = []
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dim_dict = {}
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for k1,v1 in config.items():
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grname = k1
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for v2 in v1.values():
for dim in v2[1]:
if not dim.isdigit():
tmp = dim.replace('.','_')
dim_variables[tmp] = 0
if dim not in dim_list:
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dim_list.append(tmp)
dim_dict[grname] = dim_list
dim_list = []
print(dim_variables)
#print(dim_dict)
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datasets = {}
numbers = {}
for k1,v1 in config.items():
for k2,v2 in v1.items():
if len(v2[1]) > 0:
datasets[f'{k1}_{k2}'] = v2
else:
var_name = f'{k1}_{k2}'
if var_name not in dim_variables.keys():
numbers[var_name] = v2[0]
print('Strings I/O currently not supported')
# TODO, for now remove char-related stuff
datasets_nostr = {}
for k,v in datasets.items():
if 'char' not in v[0]:
datasets_nostr[k] = v
#print(datasets_nostr)
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#print(numbers)
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#print(attributes)
#print(groups)
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#file_list = ['temp_trexio_hdf5.c']
file_list = []
temp_path = 'templates_hdf5'
files_exclude = ['prefix_hdf5.c', 'prefix_hdf5.h', 'suffix_hdf5.h', 'templator_hdf5.org']
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files = [f for f in listdir(temp_path) if isfile(join(temp_path, f)) and f not in files_exclude]
#print(files)
files_funcs = [f for f in files if 'read_' in f or 'write_' in f or 'rw_' in f ]
files_auxil = [f for f in files if not ('read_' in f or 'write_' in f or 'rw_' in f)]
print(files_auxil)
# build files with $group$ only
for fname in ['basic_hdf5.c', 'struct_hdf5.h']:
fname_new = 'populated/pop_' + fname
with open(f'{temp_path}/{fname}', 'r') as f_in:
with open(f'{temp_path}/{fname_new}', 'w') as f_out:
for line in f_in:
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if '$group$' in line or '$GROUP$' in line:
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for grname in config.keys():
templine1 = line.replace('$group$', grname)
templine2 = templine1.replace('$GROUP$', grname.upper())
#templine1 = templine2.replace('$GROUP_NUM$', dim.upper())
#templine2 = templine1.replace('$group_num$', dim)
#templine1 = templine2.replace('$GROUP_DSET$', '')
#templine2 = templine1.replace('$group_dset$', '')
f_out.write(templine2)
else:
f_out.write(line)
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# build files with $group$ and $group$-based
for fname in ['def_hdf5.c'] :
fname_new = 'populated/pop_' + fname
with open(f'{temp_path}/{fname}', 'r') as f_in :
with open(f'{temp_path}/{fname_new}', 'w') as f_out :
for line in f_in :
if '$group_dset$' in line or '$GROUP_DSET$' in line :
for dset in datasets_nostr.keys():
templine1 = line.replace('$GROUP$_$GROUP_DSET$', dset.upper())
templine2 = templine1.replace('$group_dset$', dset)
f_out.write(templine2)
elif '$group_num$' in line or '$GROUP_NUM$' in line :
for num in dim_variables.keys():
templine1 = line.replace('$GROUP_NUM$', num.upper())
templine2 = templine1.replace('$group_num$', num)
f_out.write(templine2)
elif '$group$' in line or '$GROUP$' in line :
for grname in config.keys():
templine1 = line.replace('$group$', grname)
templine2 = templine1.replace('$GROUP$', grname.upper())
f_out.write(templine2)
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else:
f_out.write(line)