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Commit 01427529 authored by temok-mx's avatar temok-mx
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Updated all VASPs incars as in VASPs wiki

parent 7d850bd7
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vaspparser/parser_vasprun.py
View file @ 01427529
......@@ -38,6 +38,7 @@ eV2J = convert_unit_function("eV", "J")
eV2JV = np.vectorize(eV2J)
def crystal_structure_from_cell(cell, eps=1e-4):
"""Return the crystal structure as a string calculated from the cell.
"""
......@@ -71,6 +72,11 @@ def crystal_structure_from_cell(cell, eps=1e-4):
else:
raise ValueError('Cannot find crystal structure')
vasp_to_metainfo_type_mapping = {
'string': ['C'],
'int': ['i'],
'logical': ['b', 'C'],
'float': ['f']}
special_points = {
'cubic': {'Γ': [0, 0, 0],
......@@ -215,10 +221,9 @@ def toBool(value):
backend.pwarn("Unexpected value for boolean field: %s" % (value))
return None
metaTypeTransformers = {
'C': lambda x: x.strip(),
'i': lambda x: int(x.strip()),
'i': lambda x: int(float(x.strip())),
'f': lambda x: float(x.strip()),
'b': toBool,
}
......@@ -263,8 +268,12 @@ def getVector(el, transform=float, field="v"):
class VasprunContext(object):
def __init__(self, logger=None):
def __init__(self, logger=None):
if logger is None:
logger = logging.getLogger(__name__)
self.logger = logger
self.parser = None
self.bands = None
self.kpoints = None
......@@ -279,12 +288,8 @@ class VasprunContext(object):
self.eFermi = None
self.cell = None
self.angstrom_cell = None
self.unknown_incar_params = []
if self.logger is None:
logger = logging.getLogger(__name__)
self.unknown_incars = {}
sectionMap = {
"modeling": ["section_run", "section_method"],
"structure": ["section_system"],
......@@ -329,11 +334,17 @@ class VasprunContext(object):
dft_plus_u = False
ibrion = None
nsw = 0
for el in element:
if (el.tag != "i"):
backend.pwarn("unexpected tag %s %s %r in incar" %
(el.tag, el.attrib, el.text))
else:
for el in element:
if el.tag == "v":
name = el.attrib.get("name", None)
meta = metaEnv['x_vasp_incar_' + name]
if not meta:
backend.pwarn("Unknown INCAR parameter (not registered in the meta data): %s %s %r" % (
el.tag, el.attrib, el.text))
#- -
vector_val = np.asarray(getVector(el))
backend.addArrayValues(meta.get('name'), vector_val)
elif el.tag == "i":
name = el.attrib.get("name", None)
meta = metaEnv['x_vasp_incar_' + name]
valType = el.attrib.get("type")
......@@ -392,6 +403,9 @@ class VasprunContext(object):
ibrion = int(el.text.strip())
elif name == "NSW":
nsw = int(el.text.strip())
else:
backend.pwarn("unexpected tag %s %s %r in incar" %
(el.tag, el.attrib, el.text))
if ibrion is None:
ibrion = -1 if nsw == 0 or nsw == 1 else 0
if nsw == 0:
......@@ -406,22 +420,27 @@ class VasprunContext(object):
backend = parser.backend
self.bands = None
self.kpoints = None
self.weights = None
for el in element:
self.weights = None
for el in element:
if el.tag == "generation":
param = el.attrib.get("param", None)
if param:
param = el.attrib.get("param", None) # eg. listgenerated, Monkhorst-Pack, Gamma
if param:
backend.addValue(
"x_vasp_k_points_generation_method", param)
if param == "listgenerated":
# This implies a path on k-space, potentially a bandstructure calculation
# Save k-path info into a dictionary
self.bands = {
"divisions": g(el, "i/[@name='divisions']", None),
"points": getVector(el)
}
elif param == "Monkhorst-Pack":
elif param in ["Monkhorst-Pack", "Gamma"]:
# This implies a (2D|3D) mesh on k-space, i.e., not a badstructure calculation
# Hence, do nothing: k-points will be stored in the `varray` if-block
pass
else:
backend.pwarn("unknown k point generation method")
backend.pwarn("Unknown k point generation method '%s'" %(param))
elif el.tag == "varray":
name = el.attrib.get("name", None)
if name == "kpointlist":
......@@ -434,7 +453,7 @@ class VasprunContext(object):
else:
backend.pwarn("Unknown array %s in kpoints" % name)
else:
backend.pwarn("Unknown tag %s in kpoints" % el.tag)
backend.pwarn("Unknown tag %s in kpoints" % el.tag)
def onEnd_structure(self, parser, event, element, pathStr):
backend = parser.backend
......@@ -627,6 +646,7 @@ class VasprunContext(object):
def onEnd_modeling(self, parser, event, element, pathStr):
backend = parser.backend
backend.addValue("x_vasp_unknown_incars", self.unknown_incars)
if self.ibrion is None or self.ibrion == -1:
return
samplingGIndex = backend.openSection("section_sampling_method")
......@@ -641,6 +661,7 @@ class VasprunContext(object):
backend.addArrayValues(
"frame_sequence_local_frames_ref", np.asarray(self.singleConfCalcs))
backend.closeSection("section_frame_sequence", frameSequenceGIndex)
def onEnd_calculation(self, parser, event, element, pathStr):
eConv = eV2J
......@@ -792,47 +813,76 @@ class VasprunContext(object):
backend.pwarn("unexpected tag %s in atominfo" % el.tag)
self.labels = np.asarray(labels2) if labels2 else np.asarray(labels)
def incarOutTag(self, el):
def incarOutTag(self, el):
backend = self.parser.backend
metaEnv = self.parser.backend.metaInfoEnv()
if (el.tag != "i"):
backend.pwarn("unexpected tag %s %s %r in incar" %
(el.tag, el.attrib, el.text))
else:
name = el.attrib.get("name", None)
name = el.attrib.get("name", None)
valType = el.attrib.get("type")
meta = metaEnv['x_vasp_incarOut_' + name]
valType = el.attrib.get("type")
if not meta:
self.unknown_incar_params.append((el.tag, el.attrib, el.text))
if not meta:
# Unknown_Incars_Begin: storage into a dictionary
if not valType:
# On vasp's xml files, valType *could* be absent if incar value is float
valType = 'float'
# map vasp's datatype to nomad's datatype [b, f, i, C, D, R]
nomad_dtypeStr = vasp_to_metainfo_type_mapping[valType][0]
converter = metaTypeTransformers.get(nomad_dtypeStr)
text_value = el.text.strip() # text representation of incar value
try:
pyvalue = converter(text_value) # python data type
except Exception:
pyvalue = text_value
# save (name, pyvalue) into a dict
self.unknown_incars[name] = pyvalue
# Unknown_Incars_end
else:
if valType:
expectedMetaType = {
'string': ['C'],
'int': ['i'],
'logical': ['b', 'C']
}.get(valType)
if not expectedMetaType:
backend.pwarn("Unknown value type %s encountered in INCAR out: %s %s %r" % (
valType, el.tag, el.attrib, el.text))
elif not meta.get('dtypeStr') in expectedMetaType:
backend.pwarn("type mismatch between meta data %s and INCAR type %s for %s %s %r" % (
meta.get('dtypeStr'), valType, el.tag, el.attrib, el.text))
try:
shape = meta.get("shape", None)
dtypeStr = meta.get("dtypeStr", None)
converter = metaTypeTransformers.get(dtypeStr)
if not valType:
valType = 'float'
vasp_metainfo_type = vasp_to_metainfo_type_mapping.get(valType)[0]
metainfo_type = meta.get('dtypeStr')
if not vasp_metainfo_type:
backend.pwarn("Unknown value type %s encountered in INCAR out: %s %s %r" % (
valType, el.tag, el.attrib, el.text))
elif metainfo_type != vasp_metainfo_type:
if (metainfo_type == 'C' and vasp_metainfo_type == 'b'):
pass
elif (metainfo_type == 'i' and vasp_metainfo_type == 'f'):
pass
else:
backend.pwarn("Data type mismatch: %s. Vasp_type: %s, metainfo_type: %s " %
(name, vasp_metainfo_type, metainfo_type))
try:
shape = meta.get("shape", None)
converter = metaTypeTransformers.get(metainfo_type)
if not converter:
backend.pwarn(
"could not find converter for dtypeStr %s when handling meta info %s" % (dtypeStr, meta))
"could not find converter for dtypeStr %s when handling meta info %s" %
(metainfo_type, meta ))
elif shape:
vals = re.split("\s+", el.text.strip())
backend.addValue(
meta["name"], [converter(x) for x in vals])
else:
# If-block to handle incars without value
if el.text == None:
el.text = ''
backend.addValue(meta["name"], converter(el.text))
except:
except:
backend.pwarn("Exception trying to handle incarOut %s: %s" % (
name, traceback.format_exc()))
if name == 'ENMAX' or name == 'PREC':
if name == 'ENMAX':
self.enmax = converter(el.text)
......@@ -862,6 +912,7 @@ class VasprunContext(object):
"section_XC_functionals")
elif name == "ISPIN":
self.ispin = int(el.text.strip())
def separatorScan(self, element, backend, depth=0):
for separators in element:
......@@ -901,6 +952,8 @@ class VasprunContext(object):
"mapping_section_method_basis_set_cell_associated", self.waveCut)
backend.closeNonOverlappingSection("section_method_basis_set")
except AttributeError:
import traceback
traceback.print_exc()
backend.pwarn(
"Missing ENMAX for calculating plane wave basis cut off ")
except AttributeError:
......@@ -1132,10 +1185,6 @@ class XmlParser(object):
parserErrors=["exception: %s" % sys.exc_info()[1]]
)
else:
if len(self.superContext.unknown_incar_params) > 0:
example = self.superContext.unknown_incar_params[0]
backend.pwarn("Unknown INCAR out parameters (not registered in the meta data), e.g. %s %s %r" % example)
backend.finishedParsingSession(
parserStatus="ParseSuccess",
parserErrors=None
......
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