nafuma/nafuma/xrd/refinement.py

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import os
import shutil
import subprocess
import re
import time
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import datetime
import warnings
import json
import pandas as pd
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import nafuma.auxillary as aux
def make_initial_inp(data: dict, options={}):
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required_options = ['filename', 'overwrite', 'include', 'save_results', 'save_dir', 'topas_options', 'background', 'capillary', 'start', 'finish', 'exclude']
default_options = {
'filename': 'start.inp',
'overwrite': False,
'save_results': False,
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'save_dir': 'results/',
'include': [], # Any files that should be included with #include
'topas_options': {},
'background': 7,
'capillary': False,
'interval': [None, None], # Start and finish values that TOPAS should refine on. Overrides 'start' and 'finish'
'start': None, # Start value only. Overridden by 'interval' if this is set.
'finish': None, # Finish value only. Overridden by 'interval' if this is set.
'exlude': [] # Excluded regions. List of lists.
}
options = aux.update_options(options=options, required_options=required_options, default_options=default_options)
options['topas_options'] = update_topas_options(options=options)
if not os.path.exists(options['filename']) or options['overwrite']:
with open(options['filename'], 'w') as fout:
write_headers(fout=fout, options=options)
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fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
fout.write('\'START OF INP - XXXX')
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
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fout.write('r_wp 0 r_exp 0 r_p 0 r_wp_dash 0 r_p_dash 0 r_exp_dash 0 weighted_Durbin_Watson 0 gof 0')
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
write_xdd(fout=fout, data=data, options=options)
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fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
fout.write('\'PARAMETER DEFINITONS')
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
for i, str in enumerate(data['str']):
fout.write('\n\n')
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write_params(fout=fout, data=data, options=options, index=i)
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
fout.write('\'STR DEFINITIONS')
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
for i, str in enumerate(data['str']):
fout.write('\n\n')
write_str(fout=fout, data=data, options=options, index=i)
def write_xdd(fout, data, options):
import nafuma.xrd as xrd
basedir = os.path.dirname(xrd.__file__)
with open (os.path.join(basedir, 'snippets.json'), 'r') as snip:
snippets = json.load(snip)
topas_options = options['topas_options']
# Write initial parameters
fout.write(f'xdd "{data["xdd"]}"\n')
fout.write('\t'+snippets['calculation_step'].format(topas_options['convolution_step'])+'\n')
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for include in options['include']:
if 'peak_width' in include:
with open(include, 'r') as f:
lines = f.readlines()
peak_width_params = []
for line in lines:
param = line.split()[1][1:]
peak_width_params.append(param)
fout.write('\t'+snippets['gauss_fwhm'].format(peak_width_params[0], peak_width_params[1], peak_width_params[2])+'\n')
# Write background
fout.write('\tbkg @ ')
for i in range(options['background']):
fout.write('0 ')
# Write wavelength and LP-factor
fout.write('\n\n')
fout.write('\t'+snippets['wavelength'].format(data['wavelength'])+'\n')
fout.write('\t'+snippets['lp_factor'].format(topas_options['lp_factor'])+'\n')
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fout.write('\t'+snippets['zero_error']+'\n')
if options['capillary']:
fout.write('\n')
for i, line in enumerate(snippets['capillary']):
if i == 0:
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line = line.format(topas_options['packing_density'])
if i == 1:
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line = line.format(topas_options['capdia'])
fout.write('\t'+line+'\n')
fout.write('\n')
if options['interval'][0] or options['start']:
options['start'] = options['interval'][0] if options['interval'][0] else options['start']
fout.write(f'\tstart_X {options["start"]}\n')
if options['interval'][1] or options['finish']:
options['finish'] = options['interval'][1] if options['interval'][1] else options['finish']
fout.write(f'\tfinish_X {options["finish"]}\n')
if options['exclude']:
for exclude in options['exclude']:
fout.write(f'\texclude {exclude[0]} {exclude[1]}\n')
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def write_params(fout, data, options, index=0):
atoms = read_cif(data['str'][index])
if 'labels' in data.keys():
label = data['labels'][index]
else:
label = index
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
fout.write(atoms['_chemical_name_common'] + f'({atoms["_space_group_name_H-M_alt"]}) - Parameters')
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
a = float(atoms['_cell_length_a'].split('(')[0])
b = float(atoms['_cell_length_b'].split('(')[0])
c = float(atoms['_cell_length_c'].split('(')[0])
alpha = float(atoms['_cell_angle_alpha'].split('(')[0])
beta = float(atoms['_cell_angle_beta'].split('(')[0])
gamma = float(atoms['_cell_angle_gamma'].split('(')[0])
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# WRITE LATTICE PARAMETERS
# If start_values is defined:
fout.write(f'#ifdef start_values_{label}\n')
lpa = f'local !lpa_{label} {a} ;: {a}'
lpb = f'local !lpb_{label} {b} ;: {b}'
lpc = f'local !lpc_{label} {c} ;: {c}'
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fout.write('{: <55} {: <55} {: <55}\n'.format(lpa, lpb, lpc))
lpal = f'local !lpal_{label} {alpha} ;: {alpha}'
lpbe = f'local !lpbe_{label} {beta} ;: {beta}'
lpga = f'local !lpga_{label} {gamma} ;: {gamma}'
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fout.write('{: <55} {: <55} {: <55}\n'.format(lpal, lpbe, lpga))
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# Otherwise
fout.write('\n')
fout.write('#else\n')
lpa = f'local !lpa_{label} {a}'
lpb = f'local !lpb_{label} {b}'
lpc = f'local !lpc_{label} {c}'
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fout.write('{: <55} {: <55} {: <55}\n'.format(lpa, lpb, lpc))
lpal = f'local !lpal_{label} {alpha}'
lpbe = f'local !lpbe_{label} {beta}'
lpga = f'local !lpga_{label} {gamma}'
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fout.write('{: <55} {: <55} {: <55}\n'.format(lpal, lpbe, lpga))
fout.write('#endif\n\n')
sites = list(atoms['atoms'].keys())
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attrs = {
'_atom_site_fract_x': 'x',
'_atom_site_fract_y': 'y',
'_atom_site_fract_z': 'z',
'_atom_site_occupancy': 'occ',
'_atom_site_B_iso_or_equiv': 'beq'
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}
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# WRITE SITE PARAMETERS
for site in sites:
params = []
for attr in attrs:
if attr in atoms["atoms"][site].keys():
value = atoms["atoms"][site][attr].split("(")[0]
value = value if value != '.' else 0.
params.append('{: <20} {: <20}'.format(f'local !{attrs[attr]}_{site}_{label}', f' = {value} ;: {value}'))
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#fout.write(f'local {attrs[attr]}_{site}_{label}\t\t =\t {value} \t ;= \t\t\t\t\t')
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fout.write('{: <55} {: <55} {: <55} {: <55} {: <55}\n'.format(*params))
fout.write('\n')
fout.write('{: <55} {: <55} {: <55} {: <55}\n'.format(
f'local !csgc_{label}_XXXX = 200 ;: 200',
f'local !cslc_{label}_XXXX = 200 ;: 200',
f'local !sgc_{label}_XXXX = 0 ;: 0',
f'local !slc_{label}_XXXX = 0 ;: 0',
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))
# fout.write(f'local csgc_{label} ;:\t\t\t\t\t')
# fout.write(f'local cslc_{label} ;:\t\t\t\t\t')
# fout.write(f'local sgc_{label} ;:\t\t\t\t\t')
# fout.write(f'local slc_{label} ;:\n')
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def write_str(fout, data, options, index=0):
atoms = read_cif(data['str'][index])
if 'labels' in data.keys():
label = data['labels'][index]
else:
label = index
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
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fout.write('\'' + atoms['_chemical_name_common'].strip('\'') + ' ' + f'({atoms["_space_group_name_H-M_alt"]})'.replace("\'", ""))
fout.write('\n\'------------------------------------------------------------------------------------------------------------------------------------------\n')
fout.write('\tstr\n')
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fout.write(f'\t\tphase_name "{atoms["_chemical_name_common"]} ({atoms["_space_group_name_H-M_alt"]})"\n'.replace('\'', ''))
fout.write(f'\t\tspace_group {atoms["_space_group_IT_number"]}\n')
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fout.write(f'\t\ta = lpa_{label} ;\n')
fout.write(f'\t\tb = lpb_{label} ;\n')
fout.write(f'\t\tc = lpc_{label} ;\n')
fout.write(f'\t\tal = lpal_{label} ;\n')
fout.write(f'\t\tbe = lpbe_{label} ;\n')
fout.write(f'\t\tga = lpga_{label} ;\n')
fout.write('\n')
#FIXME fix the if-statement below, so that cell-volume is the correct formula, based on lattice params and angles.
if '_cell_volume' not in atoms.keys():
atoms['_cell_volume'] = 0
else:
fout.write(f'\t\tcell_volume\t vol_{label}_XXXX {atoms["_cell_volume"]}\n')
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fout.write(f'\t\tcell_mass\t mass_{label}_XXXX 1\n')
fout.write(f'\t\tweight_percent\t wp_{label}_XXXX 100\n\n')
fout.write('\n')
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fout.write('\t\tscale @ 1.0\n')
fout.write('\t\tr_bragg 1.0\n\n')
fout.write(f'\t\t#ifdef crystallite_size_gaussian_{label}\n')
fout.write(f'\t\tCS_G(csgc_{label}_XXXX)\n')
fout.write('\t\t#endif\n')
fout.write(f'\t\t#ifdef crystallite_size_lorentzian_{label}\n')
fout.write(f'\t\tCS_L(cslc_{label}_XXXX)\n')
fout.write('\t\t#endif\n\n')
fout.write(f'\t\t#ifdef strain_gaussian_{label}\n')
fout.write(f'\t\tStrain_G(sgc_{label}_XXXX)\n')
fout.write('\t\t#endif\n')
fout.write(f'\t\t#ifdef strain_lorentzian_{label}\n')
fout.write(f'\t\tStrain_L(slc_{label}_XXXX)\n')
fout.write('\t\t#endif\n\n')
for atom in atoms['atoms'].keys():
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specie = '{}{}'.format(
atoms["atoms"][atom]["_atom_site_type_symbol"],
data['oxidation_states'][index][atoms["atoms"][atom]["_atom_site_type_symbol"]]
)
site = f'site {atom}'
x = f'\t\tx = x_{atom}_{label}'
y = f'\t\ty = y_{atom}_{label}'
z = f'\t\tz = z_{atom}_{label}'
occ = '\t\tocc {: <4} = occ_{}_{}'.format(specie, atom, label)
#occ = f'\t\tocc {atoms["atoms"][atom]["_atom_site_type_symbol"]} occ_{atom}_{label}'
beq = f'\t\tbeq = beq_{atom}_{label}'
# FIXME Fix alignment here at some point
#fout.write(f'\t\tsite {atom}\t x = x_{atom}_{label} ;\t y = y_{atom}_{label} ;\t z = z_{atom}_{label} ;\t occ {atoms["atoms"][atom]["_atom_site_type_symbol"]} occ_{atom}_{label} \t beq = beq_{atom}_{label} \t ;\n')
fout.write('\t\t{: <9} {: <30}; {: <30}; {: <30}; {: <30}; {: <30};'.format(site, x, y, z, occ, beq))
fout.write('\n')
if options['save_results']:
fout.write('\n\n')
write_output(fout=fout, data=data, options=options, index=index)
def write_output(fout, data, options, index=0):
filename = os.path.basename(data['xdd']).split('.')[0]
atoms = read_cif(data['str'][index])
if 'labels' in data.keys():
label = data['labels'][index]
else:
label = index
fout.write('#ifdef output\n')
fout.write(f'\t\tOut_Riet({options["save_dir"]}/{label}_XXXX_riet.xy)\n')
fout.write(f'\t\tOut_CIF_STR({options["save_dir"]}/{label}_XXXX.cif)\n')
fout.write(f'\t\tOut_CIF_ADPs({options["save_dir"]}/{label}_XXXX.cif)\n')
fout.write(f'\t\tOut_CIF_Bonds_Angles({options["save_dir"]}/{label}_XXXX.cif)\n')
fout.write(f'\t\tCreate_hklm_d_Th2_Ip_file({options["save_dir"]}/{label}_XXXX_hkl.dat)\n')
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fout.write('\n')
fout.write(f'out {options["save_dir"]}/{filename}_{label}.dat append\n')
fout.write(f'\t\tOut_String("XXXX")\n')
# FIXME Does not write out weighted_Durbin_Watson, TOPAS complained about this
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fout.write('\t\t{: <40} {: <40} {: <40} {: <40} {: <40} {: <40}'.format(
f'Out(Get(r_wp), "%11.5f")',
f'Out(Get(r_exp), "%11.5f")',
f'Out(Get(r_p), "%11.5f")',
f'Out(Get(r_p_dash), "%11.5f")',
f'Out(Get(r_exp_dash), "%11.5f")',
f'Out(Get(gof), "%11.5f")',
)
)
fout.write('\n')
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fout.write('\t\t{: <40} {: <40} {: <40}'.format(
f'Out(vol_{label}_XXXX, "%11.5f")',
f'Out(mass_{label}_XXXX, "%11.5f")',
f'Out(wp_{label}_XXXX, "%11.5f")',
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)
)
fout.write('\n')
fout.write('\t\t{: <40} {: <40} {: <40} {: <40} {: <40} {: <40}'.format(
f'Out(lpa_{label}, "%11.5f")',
f'Out(lpb_{label}, "%11.5f")',
f'Out(lpc_{label}, "%11.5f")',
f'Out(lpal_{label}, "%11.5f")',
f'Out(lpbe_{label}, "%11.5f")',
f'Out(lpga_{label}, "%11.5f")',
)
)
fout.write('\n\n')
for atom in atoms['atoms']:
fout.write('\t\t{: <40} {: <40} {: <40} {: <40} {: <40}'.format(
f'Out(x_{atom}_{label}, "%11.5f")',
f'Out(y_{atom}_{label}, "%11.5f")',
f'Out(z_{atom}_{label}, "%11.5f")',
f'Out(occ_{atom}_{label}, "%11.5f")',
f'Out(beq_{atom}_{label}, "%11.5f")',
)
)
fout.write('\n')
fout.write('\t\tOut_String("\\n")\n')
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fout.write('#endif')
fout.write('\n\n')
def read_cif(path):
data = {'atoms': {}} # Initialise dictionary
read = True # Initialise read toggle
# Lists attributes to get out of the .CIF-file. This will correspond to what VESTA writes out, not necessarily what you will find in ICSD
attrs = ['_chemical_name_common', '_cell', '_space_group_name_H-M_alt', '_space_group_IT_number']
# Open file
with open(path, 'r') as cif:
line = cif.readline()
# Read until encountering #End
while read:
# Break loop if #End is reached
if not line or line.startswith('#End'):
read = False
break
# Handle loops
if line.lstrip().startswith('loop_'):
loop = []
line = cif.readline()
# Only handle loops with attributes that starts with _atom. Other loops are incompatible with below code due to slight differences in formatting (e.g. lineshifts)
while line.lstrip().startswith('_atom'):
loop.append(line) # add the attributes of the loop to a list (every keywords starting with _atom)
line = cif.readline() # Read next line
# If there were any attributes that started with _atom - if this is empty is just means there were other attributes in this loop
if loop:
# Read every line after the attribute listing has ended - until it encounters a new attribute, loop or #End tag
# FIXME WHat a horrible condition statement - need to fix this!
while line and not line.lstrip().startswith('_') and not line.lstrip().startswith('loop_') and not line.lstrip().startswith('#End') and not line=='\n':
# Initialise empty dictionary for a given atom if it has not already been created in another loop
if line.split()[0] not in data['atoms'].keys():
data["atoms"][line.split()[0]] = {}
# Add all the attribute / value pairs for the current loop
for i, attr in enumerate(loop):
data["atoms"][line.split()[0]][attr[:-1].lstrip()] = line.split()[i]
# Read new line
line = cif.readline()
# If loop list was empty, keep going to the next line
else:
line = cif.readline()
# Handle free-standing attributes
elif any([line.lstrip().startswith(i) for i in attrs]):
#line.startswith() or line.startswith('_symmetry_space_group_name') or line.startswith('_symmetry_Int_Tables'):
#
#
attr, *value = line.split()
value = ' '.join([str(i) for i in value])
data[attr] = value
line = cif.readline()
else:
line = cif.readline()
print(data.keys())
return data
def update_topas_options(options):
import nafuma.xrd as xrd
basedir = os.path.dirname(xrd.__file__)
with open(os.path.join(basedir, 'topas_default.json'), 'r') as default:
topas_defaults = json.load(default)
options['topas_options'] = aux.update_options(options=options['topas_options'], required_options=topas_defaults.keys(), default_options=topas_defaults)
return options['topas_options']
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def make_big_inp(data: dict, options={}):
''' Generates a big .INP-file with all filenames found in data["path"]. Uses a template .INP-file (which has to be generated manually from an initial refinement in TOPAS) and appends this to a large .INP-file
while changing the filenames. '''
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# FIXME Strip headers from initial INP file before copying it.
required_options = ['template', 'output', 'overwrite', 'backup', 'backup_dir', 'include', 'topas_options', 'save_results', 'save_dir', 'log', 'logfile']
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default_options = {
'template': 'start.inp', # Name of the template .INP-file
'output': 'big.inp', # Name of the output .INP-file
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'overwrite': False, # Toggles overwrite on / off
'backup': True, # Toggles backup on / off. Makes a backup of the file if it already exists. Only runs if overwrite is enabled.
'backup_dir': 'backup', # Specifies the path where the backup files should be located
'include': [],
'topas_options': None,
'save_results': True,
'save_dir': 'results',
'log': False,
'logfile': f'{datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_generate_big_inp.log',
}
options = aux.update_options(options=options, required_options=required_options, default_options=default_options)
required_topas_options = ['iters', 'chi2_convergence_criteria', 'bootstrap_errors', 'A_matrix_memory_allowed_in_Mbytes', 'approximate_A', 'conserve_memory', 'do_errors', 'continue_after_convergence', 'num_runs']
default_topas_options = {
'iters': 100000,
'chi2_convergence_criteria': 0.001,
'bootstrap_errors': None,
'A_matrix_memory_allowed_in_Mbytes': None,
'approximate_A': False,
'conserve_memory': False,
'do_errors': False,
'continue_after_convergence': False,
'num_runs': None,
}
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options['topas_options'] = aux.update_options(options=options['topas_options'], required_options=required_topas_options, default_options=default_topas_options)
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if not os.path.exists(options['template']):
raise Exception(f'Template file not found: {options["template"]}')
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# Raises exception if files exists and overwrite is not enabled
if not options['overwrite']:
if os.path.exists(options['output']):
raise Exception(f'Overwrite disabled and file already exists: {options["output"]}')
# Makes a backup of file
elif options['backup'] and os.path.exists(options['output']):
if options['log']:
aux.write_log(message=f'File {options["output"]} already exists. Creating backup in {options["backup_dir"]}.')
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aux.backup_file(filename=options['output'], backup_dir=options['backup_dir'])
runlist = os.path.join(os.path.dirname(options['output']), 'runlist.txt')
options['include'].append(runlist)
with open(options['template'], 'r') as template:
strip_headers(template)
with open('tmp_template.inp', 'r') as template, open(options['output'], 'w', newline='\n') as output, open(runlist, 'w', newline='\n') as runlist:
write_headers(output, options)
template = template.read()
for i, path in enumerate(data['path']):
s = make_inp_entry(template=template, xdd=path, num=i, options=options)
output.write(s)
output.write('\n\n')
runlist.write('#define \tUSE_'+f'{i}'.zfill(4) + '\n')
os.remove('tmp_template.inp')
def strip_headers(fin):
line = fin.readline()
newlines = []
while 'r_wp' not in line:
if line[0] != '\'':
line = fin.readline()
else:
newlines.append(line)
line = fin.readline()
newlines.append(line)
newlines = newlines + fin.readlines()
with open('tmp_template.inp', 'w') as fout:
for line in newlines:
fout.write(line)
def write_headers(fout, options):
# FIXME Could modify this to make sure that certain combinations of options is not written, such as both do_errors and bootstrap_errors.
headers = [
"A_matrix_memory_allowed_in_Mbytes",
"approximate_A",
"bootstrap_errors",
"conserve_memory",
"continue_after_convergence",
"do_errors",
"chi2_convergence_criteria",
"iters",
"num_runs" ]
for file in options['include']:
fout.write(f'#include {file} \n')
fout.write('\n')
if options['save_results']:
fout.write('#define output \n')
fout.write('\n')
for option, value in options['topas_options'].items():
if value and option in headers:
if isinstance(value, bool):
fout.write(f'{option} \n')
else:
fout.write(f'{option} {value} \n')
def get_headers(inp, path):
with open(inp, 'r') as inp:
headers = ['index']
line = inp.readline()
while not path in line:
line = inp.readline()
# Jump down to lines
line = inp.readline()
line = inp.readline()
while not '#endif' in line:
if line.split():
regx = r"\([\S]*"
headers_line = re.findall(regx, line)
for i, header in enumerate(headers_line):
header = header[1:-1]
if all(keyword in header for keyword in ['Get', '(', ')']):
header = header[4:-1]
headers_line[i] = header
for header in headers_line:
if header != '"\\n"':
headers.append(header)
line = inp.readline()
return headers
def get_paths(inp):
paths = []
with open(inp, 'r') as inp:
lines = inp.readlines()
for line in lines:
if all(keyword in line for keyword in ['out', 'append']):
paths.append(line.split()[1])
return paths
def make_inp_entry(template: str, xdd: str, num: int, options: dict) -> str:
''' Takes a template and creates an entry with xdd as path to file and with number num.'''
temp_xdd = find_xdd_in_inp(options['template'])
num_str = f'{num}'.zfill(4)
# Replace diffractogram-path
s = template.replace(temp_xdd, xdd).replace('XXXX', num_str)
return s
def find_xdd_in_inp(path: str) -> str:
''' Finds the path to the .xy / .xye scan in a given .INP-file. Assumes only one occurence of xdd and will return the last one no matter what, but outputs a UserWarning if more than one xdd is found.'''
with open(path, 'r') as f:
lines = f.readlines()
xdds = 0
for line in lines:
if 'xdd' in line:
xdd = line.split()[-1].strip('"')
xdds += 1
if xdds > 1:
warnings.warn(f'More than one path was found in {path}. Returning last occurence - please make sure this is what you want!')
return xdd
def refine(data: dict, options={}):
''' Calls TOPAS from options['topas_path'], which should point to tc.exe in the TOPAS-folder. If not explicitly passed, will try to use what is in topas.conf.'''
required_options = ['topas_path', 'topas_log', 'topas_logfile', 'log', 'logfile', 'overwrite']
default_options = {
'topas_path': None,
'topas_log': False,
'topas_logfile': f'{datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_topas.out',
'log': False,
'logfile': f'{datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_generate_big_inp.log',
'overwrite': False
}
options = aux.update_options(options=options, required_options=required_options, default_options=default_options)
if not options['topas_path']:
import nafuma.xrd as xrd
# Open topas.conf in the nafuma/xrd
with open(os.path.join(os.path.dirname(xrd.__file__), 'topas.conf'), 'r') as f:
topas_base = f.read()
options['topas_path'] = os.path.join(topas_base, 'tc.exe')
# Check to see if the executable exists
if not os.path.exists(options['topas_path']):
raise Exception('TOPAS executable not found! Please explicitly pass path to tc.exe directly in options["topas_path"] or change base folder in topas.conf to the correct one.')
# Create folders if they don't exist
# FIXME Since the big INP files now have the same filename for all iterations, we need to adjust the code to only get unique values from the get_paths function
# FIXME get_headers() is also not working now. Needs to be adjusted to the new way of writing the Out-parameters
paths = get_paths(data['inp'])
paths = aux.get_unique(paths)
for path in paths:
headers = get_headers(data['inp'], path)
dirname = os.path.dirname(path)
if dirname and not os.path.isdir(dirname):
os.makedirs(dirname)
if not os.path.exists(path) or options['overwrite']:
with open(path, 'w') as results:
for header in headers:
results.write(header+'\t')
results.write('\n')
else:
raise Exception(f'Results file already exists: {path}')
# Create shell command
command = ' '.join([options['topas_path'], data['inp']])
# Append output if logging is enabled
if options['topas_log']:
command = ' '.join([command, f'>{options["topas_logfile"]}'])
if os.path.dirname(options['topas_logfile']) and not os.path.isdir(os.path.dirname(options['topas_logfile'])):
os.makedirs(os.path.dirname(options['topas_logfile']))
subprocess.call(command, shell=True)
def read_results(path):
results = pd.read_csv(path, delim_whitespace=True, index_col=0)
return results