def read_structure(filename):
"""
Reads a structure based on file extension. For example, anything ending in
a "cif" is assumed to be a Crystallographic Information Format file.
Args:
filename:
A filename to read from.
Returns:
A Structure object.
"""
lower_filename = os.path.basename(filename).lower()
if re.search("\.cif", lower_filename):
parser = CifParser(filename)
return parser.get_structures(True)[0]
elif lower_filename.startswith("poscar") \
or lower_filename.startswith("contcar"):
return Poscar.from_file(filename, False).structure
elif lower_filename.startswith("chgcar") \
or lower_filename.startswith("locpot"):
return Chgcar.from_file(filename).structure
elif re.search("vasprun", lower_filename) \
and re.search("xml", lower_filename):
return Vasprun(filename).final_structure
elif re.search("\.cssr", lower_filename):
cssr = Cssr.from_file(filename)
return cssr.structure
raise ValueError("Unrecognized file extension!")
def read_structure(filename):
"""
Reads a structure based on file extension. For example, anything ending in
a "cif" is assumed to be a Crystallographic Information Format file.
Supported formats include CIF, POSCAR/CONTCAR, CHGCAR, LOCPOT,
vasprun.xml, CSSR and pymatgen's JSON serialized structures.
Args:
filename (str): A filename to read from.
Returns:
A Structure object.
"""
fname = os.path.basename(filename)
if fnmatch(fname.lower(), "*.cif*"):
parser = CifParser(filename)
return parser.get_structures(True)[0]
elif fnmatch(fname, "POSCAR*") or fnmatch(fname, "CONTCAR*"):
return Poscar.from_file(filename, False).structure
elif fnmatch(fname, "CHGCAR*") or fnmatch(fname, "LOCPOT*"):
return Chgcar.from_file(filename).structure
elif fnmatch(fname, "vasprun*.xml*"):
return Vasprun(filename).final_structure
elif fnmatch(fname.lower(), "*.cssr*"):
cssr = Cssr.from_file(filename)
return cssr.structure
elif fnmatch(fname, "*.json*") or fnmatch(fname, "*.mson*"):
with zopen(filename) as f:
s = json.load(f, cls=PMGJSONDecoder)
if type(s) != Structure:
raise IOError("File does not contain a valid serialized "
"structure")
return s
raise ValueError("Unrecognized file extension!")
def read_structure(filename):
"""
Reads a structure based on file extension. For example, anything ending in
a "cif" is assumed to be a Crystallographic Information Format file.
Supported formats include CIF, POSCAR/CONTCAR, CHGCAR, LOCPOT,
vasprun.xml, CSSR and pymatgen's JSON serialized structures.
Args:
filename:
A filename to read from.
Returns:
A Structure object.
"""
fname = os.path.basename(filename)
if fnmatch(fname.lower(), "*.cif*"):
parser = CifParser(filename)
return parser.get_structures(True)[0]
elif fnmatch(fname, "POSCAR*") or fnmatch(fname, "CONTCAR*"):
return Poscar.from_file(filename, False).structure
elif fnmatch(fname, "CHGCAR*") or fnmatch(fname, "LOCPOT*"):
return Chgcar.from_file(filename).structure
elif fnmatch(fname, "vasprun*.xml*"):
return Vasprun(filename).final_structure
elif fnmatch(fname.lower(), "*.cssr*"):
cssr = Cssr.from_file(filename)
return cssr.structure
elif fnmatch(fname, "*.json*") or fnmatch(fname, "*.mson*"):
with zopen(filename) as f:
s = json.load(f, cls=PMGJSONDecoder)
if type(s) != Structure:
raise IOError("File does not contain a valid serialized "
"structure")
return s
raise ValueError("Unrecognized file extension!")
def convert_fmt(args):
iformat = args.input_format[0]
oformat = args.output_format[0]
filename = args.input_filename[0]
out_filename = args.output_filename[0]
try:
if iformat == "smart":
structure = read_structure(filename)
if iformat == "POSCAR":
p = Poscar.from_file(filename)
structure = p.structure
elif iformat == "CIF":
r = CifParser(filename)
structure = r.get_structures()[0]
elif iformat == "CSSR":
structure = Cssr.from_file(filename).structure
if oformat == "smart":
write_structure(structure, out_filename)
elif oformat == "POSCAR":
p = Poscar(structure)
p.write_file(out_filename)
elif oformat == "CIF":
w = CifWriter(structure)
w.write_file(out_filename)
elif oformat == "CSSR":
c = Cssr(structure)
c.write_file(out_filename)
elif oformat == "VASP":
input_set = MPVaspInputSet()
ts = TransformedStructure(structure, [],
history=[{
"source":
"file",
"datetime":
str(datetime.datetime.now()),
"original_file":
open(filename).read()
}])
ts.write_vasp_input(input_set, output_dir=out_filename)
elif oformat == "MITVASP":
input_set = MITVaspInputSet()
ts = TransformedStructure(structure, [],
history=[{
"source":
"file",
"datetime":
str(datetime.datetime.now()),
"original_file":
open(filename).read()
}])
ts.write_vasp_input(input_set, output_dir=out_filename)
except Exception as ex:
print "Error converting file. Are they in the right format?"
print str(ex)
def convert_fmt(args):
iformat = args.input_format[0]
oformat = args.output_format[0]
filename = args.input_filename[0]
out_filename = args.output_filename[0]
try:
if iformat == "smart":
structure = read_structure(filename)
if iformat == "POSCAR":
p = Poscar.from_file(filename)
structure = p.structure
elif iformat == "CIF":
r = CifParser(filename)
structure = r.get_structures()[0]
elif iformat == "CSSR":
structure = Cssr.from_file(filename).structure
if oformat == "smart":
write_structure(structure, out_filename)
elif oformat == "POSCAR":
p = Poscar(structure)
p.write_file(out_filename)
elif oformat == "CIF":
w = CifWriter(structure)
w.write_file(out_filename)
elif oformat == "CSSR":
c = Cssr(structure)
c.write_file(out_filename)
elif oformat == "VASP":
input_set = MPVaspInputSet()
ts = TransformedStructure(
structure,
[],
history=[
{"source": "file", "datetime": str(datetime.datetime.now()), "original_file": open(filename).read()}
],
)
ts.write_vasp_input(input_set, output_dir=out_filename)
elif oformat == "MITVASP":
input_set = MITVaspInputSet()
ts = TransformedStructure(
structure,
[],
history=[
{"source": "file", "datetime": str(datetime.datetime.now()), "original_file": open(filename).read()}
],
)
ts.write_vasp_input(input_set, output_dir=out_filename)
except Exception as ex:
print "Error converting file. Are they in the right format?"
print str(ex)
def read_structure(filename, primitive=True, sort=False):
"""
Reads a structure based on file extension. For example, anything ending in
a "cif" is assumed to be a Crystallographic Information Format file.
Supported formats include CIF, POSCAR/CONTCAR, CHGCAR, LOCPOT,
vasprun.xml, CSSR and pymatgen's JSON serialized structures.
Args:
filename (str): A filename to read from.
primitive (bool): Whether to convert to a primitive cell for cifs.
Defaults to True.
sort (bool): Whether to sort sites. Default to False.
Returns:
A Structure object.
"""
fname = os.path.basename(filename)
if fnmatch(fname.lower(), "*.cif*"):
parser = CifParser(filename)
s = parser.get_structures(primitive=primitive)[0]
elif fnmatch(fname, "POSCAR*") or fnmatch(fname, "CONTCAR*"):
s = Poscar.from_file(filename, False).structure
elif fnmatch(fname, "CHGCAR*") or fnmatch(fname, "LOCPOT*"):
s = Chgcar.from_file(filename).structure
elif fnmatch(fname, "vasprun*.xml*"):
s = Vasprun(filename).final_structure
elif fnmatch(fname.lower(), "*.cssr*"):
cssr = Cssr.from_file(filename)
s = cssr.structure
elif fnmatch(fname, "*.json*") or fnmatch(fname, "*.mson*"):
with zopen(filename) as f:
s = json.load(f, cls=MontyDecoder)
if type(s) != Structure:
raise IOError("File does not contain a valid serialized "
"structure")
else:
raise ValueError("Unrecognized file extension!")
if sort:
s = s.get_sorted_structure()
return s
def read_structure(filename, primitive=True, sort=False):
"""
Reads a structure based on file extension. For example, anything ending in
a "cif" is assumed to be a Crystallographic Information Format file.
Supported formats include CIF, POSCAR/CONTCAR, CHGCAR, LOCPOT,
vasprun.xml, CSSR and pymatgen's JSON serialized structures.
Args:
filename (str): A filename to read from.
primitive (bool): Whether to convert to a primitive cell for cifs.
Defaults to False.
sort (bool): Whether to sort sites. Default to False.
Returns:
A Structure object.
"""
fname = os.path.basename(filename)
if fnmatch(fname.lower(), "*.cif*"):
parser = CifParser(filename)
s = parser.get_structures(primitive=primitive)[0]
elif fnmatch(fname, "POSCAR*") or fnmatch(fname, "CONTCAR*"):
s = Poscar.from_file(filename, False).structure
elif fnmatch(fname, "CHGCAR*") or fnmatch(fname, "LOCPOT*"):
s = Chgcar.from_file(filename).structure
elif fnmatch(fname, "vasprun*.xml*"):
s = Vasprun(filename).final_structure
elif fnmatch(fname.lower(), "*.cssr*"):
cssr = Cssr.from_file(filename)
s = cssr.structure
elif fnmatch(fname, "*.json*") or fnmatch(fname, "*.mson*"):
with zopen(filename) as f:
s = json.load(f, cls=PMGJSONDecoder)
if type(s) != Structure:
raise IOError("File does not contain a valid serialized "
"structure")
else:
raise ValueError("Unrecognized file extension!")
if sort:
s = s.get_sorted_structure()
return s
def read_structure(filename):
"""
Reads a structure based on file extension. For example, anything ending in
a "cif" is assumed to be a Crystallographic Information Format file.
Supported formats include CIF, POSCAR/CONTCAR, CHGCAR, LOCPOT,
vasprun.xml, CSSR and pymatgen's JSON serialized structures.
Args:
filename:
A filename to read from.
Returns:
A Structure object.
"""
lower_filename = os.path.basename(filename).lower()
if re.search("\.cif", lower_filename):
parser = CifParser(filename)
return parser.get_structures(True)[0]
elif lower_filename.startswith("poscar") \
or lower_filename.startswith("contcar"):
return Poscar.from_file(filename, False).structure
elif lower_filename.startswith("chgcar") \
or lower_filename.startswith("locpot"):
return Chgcar.from_file(filename).structure
elif re.search("vasprun", lower_filename) \
and re.search("xml", lower_filename):
return Vasprun(filename).final_structure
elif re.search("\.cssr", lower_filename):
cssr = Cssr.from_file(filename)
return cssr.structure
elif re.search("\.[mj]son", lower_filename):
with zopen(lower_filename) as f:
s = json.load(f, cls=PMGJSONDecoder)
if type(s) != Structure:
raise IOError("File does not contain a valid serialized "
"structure")
return s
raise ValueError("Unrecognized file extension!")
def convert_fmt(args):
iformat = args.input_format[0]
oformat = args.output_format[0]
filename = args.input_filename[0]
out_filename = args.output_filename[0]
try:
if iformat == "smart":
structure = read_structure(filename)
if iformat == "POSCAR":
p = Poscar.from_file(filename)
structure = p.structure
elif iformat == "CIF":
r = CifParser(filename)
structure = r.get_structures()[0]
elif iformat == "CSSR":
structure = Cssr.from_file(filename).structure
if oformat == "smart":
write_structure(structure, out_filename)
elif oformat == "POSCAR":
p = Poscar(structure)
p.write_file(out_filename)
elif oformat == "CIF":
w = CifWriter(structure)
w.write_file(out_filename)
elif oformat == "CSSR":
c = Cssr(structure)
c.write_file(out_filename)
elif oformat == "VASP":
input_set = MaterialsProjectVaspInputSet()
transmuter = StandardTransmuter.from_structures([structure], [])
transmuter.write_vasp_input(input_set, output_dir=out_filename)
except Exception as ex:
print "Error converting file. Are they in the right format?"
print str(ex)
def test_from_file(self):
filename = os.path.join(test_dir, "Si.cssr")
cssr = Cssr.from_file(filename)
self.assertIsInstance(cssr.structure, Structure)
def test_from_file(self):
filename = os.path.join(test_dir, "Si.cssr")
cssr = Cssr.from_file(filename)
self.assertIsInstance(cssr.structure, Structure)