def build_um_cf_map(fuseki, now, git_sha, base_dir):
"""
Encode the UM/CF phenomenon translation mappings
within the specified file.
Args:
* fuseki:
The :class:`metarelate.fuseki.FusekiServer` instance.
* now:
Time stamp to write into the file
* git_sha:
The git SHA1 of the metarelate commit
* base_dir:
The root directory of the Iris source.
"""
filename = os.path.join(base_dir, 'lib', 'iris', 'fileformats',
'um_cf_map.py')
# Create the base directory.
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
# Create the file to contain UM/CF translations.
with open(filename, 'w') as fh:
fh.write(
HEADER.format(year=YEAR,
doc_string=DOC_STRING_UM,
datestamp=now,
git_sha=git_sha,
name='Iris'))
fh.write('\n')
# Encode the relevant UM to CF translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['umf'],
FORMAT_URIS['cff'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
fccf = FieldcodeCFMappings(maps)
stcf = StashCFNameMappings(maps)
stcfhcon = StashCFHeightConstraintMappings(maps)
fh.writelines(fccf.lines(fuseki))
fh.writelines(stcf.lines(fuseki))
fh.writelines(stcfhcon.lines(fuseki))
# Encode the relevant CF to UM translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['cff'],
FORMAT_URIS['umf'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
cffc = CFFieldcodeMappings(maps)
fh.writelines(cffc.lines(fuseki))
def build_um_cf_map(fuseki, now, git_sha, base_dir):
"""
Encode the UM/CF phenomenon translation mappings
within the specified file.
Args:
* fuseki:
The :class:`metarelate.fuseki.FusekiServer` instance.
* now:
Time stamp to write into the file
* git_sha:
The git SHA1 of the metarelate commit
* base_dir:
The root directory of the Iris source.
"""
filename = os.path.join(base_dir, 'lib', 'iris', 'fileformats',
'um_cf_map.py')
# Create the base directory.
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
# Create the file to contain UM/CF translations.
with open(filename, 'w') as fh:
fh.write(HEADER.format(year=YEAR, doc_string=DOC_STRING_UM,
datestamp=now, git_sha=git_sha, name='Iris'))
fh.write('\n')
# Encode the relevant UM to CF translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['umf'],
FORMAT_URIS['cff'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
fccf = FieldcodeCFMappings(maps)
stcf = StashCFNameMappings(maps)
stcfhcon = StashCFHeightConstraintMappings(maps)
fh.writelines(fccf.lines(fuseki))
fh.writelines(stcf.lines(fuseki))
fh.writelines(stcfhcon.lines(fuseki))
# Encode the relevant CF to UM translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['cff'],
FORMAT_URIS['umf'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
cffc = CFFieldcodeMappings(maps)
fh.writelines(cffc.lines(fuseki))
def build_um_cf_map(fuseki, filename):
"""
Encode the UM/CF phenomenon translation mappings
within the specified file.
Args:
* fuseki:
The :class:`metarelate.fuseki.FusekiServer` instance.
* filename:
The name of the file to contain the translations.
"""
# Create the base directory.
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
# Create the file to contain UM/CF translations.
with open(filename, 'w') as fh:
fh.write(HEADER.format(year=YEAR, doc_string=DOC_STRING_UM))
fh.write('\n')
# Encode the relevant UM to CF translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['umf'],
FORMAT_URIS['cff'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
fccf = FieldcodeCFMappings(maps)
stcf = StashCFNameMappings(maps)
stcfhcon = StashCFHeightConstraintMappings(maps)
fh.writelines(fccf.lines(fuseki))
fh.writelines(stcf.lines(fuseki))
fh.writelines(stcfhcon.lines(fuseki))
# Encode the relevant CF to UM translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['cff'],
FORMAT_URIS['umf'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
cffc = CFFieldcodeMappings(maps)
fh.writelines(cffc.lines(fuseki))
def build_um_cf_map(fuseki, filename):
"""
Encode the UM/CF phenomenon translation mappings
within the specified file.
Args:
* fuseki:
The :class:`metarelate.fuseki.FusekiServer` instance.
* filename:
The name of the file to contain the translations.
"""
# Create the base directory.
if not os.path.exists(os.path.dirname(filename)):
os.makedirs(os.path.dirname(filename))
# Create the file to contain UM/CF translations.
with open(filename, 'w') as fh:
fh.write(HEADER.format(year=YEAR, doc_string=DOC_STRING_UM))
fh.write('\n')
# Encode the relevant UM to CF translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['umf'],
FORMAT_URIS['cff'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
fccf = FieldcodeCFMappings(maps)
stcf = StashCFNameMappings(maps)
stcfhcon = StashCFHeightConstraintMappings(maps)
fh.writelines(fccf.lines(fuseki))
fh.writelines(stcf.lines(fuseki))
fh.writelines(stcfhcon.lines(fuseki))
# Encode the relevant CF to UM translations.
maps = _retrieve_mappings(fuseki, FORMAT_URIS['cff'],
FORMAT_URIS['umf'])
# create the collections, then call lines on each one
# for thread safety during lines and encode
cffc = CFFieldcodeMappings(maps)
fh.writelines(cffc.lines(fuseki))
