OpenMC/scripts/openmc-get-nndc-data

160 lines
4.8 KiB
Python
Executable file

#!/usr/bin/env python
from __future__ import print_function
import os
import shutil
import subprocess
import sys
import tarfile
import glob
import hashlib
import argparse
from six.moves import input
from six.moves.urllib.request import urlopen
import openmc.data
description = """
Download ENDF/B-VII.1 ACE data from NNDC and convert it to an HDF5 library for
use with OpenMC. This data is used for OpenMC's regression test suite.
"""
class CustomFormatter(argparse.ArgumentDefaultsHelpFormatter,
argparse.RawDescriptionHelpFormatter):
pass
parser = argparse.ArgumentParser(
description=description,
formatter_class=CustomFormatter
)
parser.add_argument('-b', '--batch', action='store_true',
help='supresses standard in')
args = parser.parse_args()
baseUrl = 'http://www.nndc.bnl.gov/endf/b7.1/aceFiles/'
files = ['ENDF-B-VII.1-neutron-293.6K.tar.gz',
'ENDF-B-VII.1-tsl.tar.gz']
checksums = ['9729a17eb62b75f285d8a7628ace1449',
'e17d827c92940a30f22f096d910ea186']
block_size = 16384
# ==============================================================================
# DOWNLOAD FILES FROM NNDC SITE
filesComplete = []
for f in files:
# Establish connection to URL
url = baseUrl + f
req = urlopen(url)
# Get file size from header
if sys.version_info[0] < 3:
file_size = int(req.info().getheaders('Content-Length')[0])
else:
file_size = req.length
downloaded = 0
# Check if file already downloaded
if os.path.exists(f):
if os.path.getsize(f) == file_size:
print('Skipping ' + f)
filesComplete.append(f)
continue
else:
overwrite = input('Overwrite {0}? ([y]/n) '.format(f))
if overwrite.lower().startswith('n'):
continue
# Copy file to disk
print('Downloading {0}... '.format(f), end='')
with open(f, 'wb') as fh:
while True:
chunk = req.read(block_size)
if not chunk: break
fh.write(chunk)
downloaded += len(chunk)
status = '{0:10} [{1:3.2f}%]'.format(
downloaded, downloaded * 100. / file_size)
print(status + chr(8)*len(status), end='')
print('')
filesComplete.append(f)
# ==============================================================================
# VERIFY MD5 CHECKSUMS
print('Verifying MD5 checksums...')
for f, checksum in zip(files, checksums):
downloadsum = hashlib.md5(open(f, 'rb').read()).hexdigest()
if downloadsum != checksum:
raise IOError("MD5 checksum for {} does not match. If this is your first "
"time receiving this message, please re-run the script. "
"Otherwise, please contact OpenMC developers by emailing "
"openmc-users@googlegroups.com.".format(f))
# ==============================================================================
# EXTRACT FILES FROM TGZ
for f in files:
if f not in filesComplete:
continue
# Extract files
suffix = f[f.rindex('-') + 1:].rstrip('.tar.gz')
with tarfile.open(f, 'r') as tgz:
print('Extracting {0}...'.format(f))
tgz.extractall(path='nndc/' + suffix)
# Move ACE files down one level
for filename in glob.glob('nndc/293.6K/ENDF-B-VII.1-neutron-293.6K/*'):
shutil.move(filename, 'nndc/293.6K/')
# ==============================================================================
# FIX ZAID ASSIGNMENTS FOR VARIOUS S(A,B) TABLES
def fix_zaid(table, old, new):
filename = os.path.join('nndc', 'tsl', table)
with open(filename, 'r') as fh:
text = fh.read()
text = text.replace(old, new, 1)
with open(filename, 'w') as fh:
fh.write(text)
print('Fixing ZAIDs for S(a,b) tables')
fix_zaid('bebeo.acer', '8016', ' 0')
fix_zaid('obeo.acer', '4009', ' 0')
# ==============================================================================
# PROMPT USER TO DELETE .TAR.GZ FILES
# Ask user to delete
if not args.batch:
response = input('Delete *.tar.gz files? ([y]/n) ')
else:
response = 'y'
# Delete files if requested
if not response or response.lower().startswith('y'):
for f in files:
if os.path.exists(f):
print('Removing {0}...'.format(f))
os.remove(f)
# ==============================================================================
# GENERATE HDF5 LIBRARY
# get a list of all ACE files
ace_files = sorted(glob.glob(os.path.join('nndc', '**', '*.ace*')))
# Get path to fission energy release data
data_dir = os.path.dirname(sys.modules['openmc.data'].__file__)
fer_file = os.path.join(data_dir, 'fission_Q_data_endfb71.h5')
pwd = os.path.dirname(os.path.realpath(__file__))
ace2hdf5 = os.path.join(pwd, 'openmc-ace-to-hdf5')
subprocess.call([ace2hdf5, '-d', 'nndc_hdf5', '--fission_energy_release',
fer_file] + ace_files)