Merge branch 'result_custom_path_export' into 'development'

added custom path export option to Result.export_* functions

Closes #172

See merge request damask/DAMASK!599
This commit is contained in:
Philip Eisenlohr 2022-11-06 18:10:23 +00:00
commit 1fae90b9b5
3 changed files with 668 additions and 593 deletions

View File

@ -276,7 +276,7 @@ class Result:
Increment number of all increments within the given bounds. Increment number of all increments within the given bounds.
""" """
s,e = map(lambda x: int(x[10:] if isinstance(x,str) and x.startswith(prefix_inc) else x), s,e = map(lambda x: int(x.split(prefix_inc)[-1] if isinstance(x,str) and x.startswith(prefix_inc) else x),
(self.incs[ 0] if start is None else start, (self.incs[ 0] if start is None else start,
self.incs[-1] if end is None else end)) self.incs[-1] if end is None else end))
return [i for i in self.incs if s <= i <= e] return [i for i in self.incs if s <= i <= e]
@ -1516,7 +1516,9 @@ class Result:
def export_XDMF(self, def export_XDMF(self,
output: Union[str, List[str]] = '*'): output: Union[str, List[str]] = '*',
target_dir: Union[str, Path] = None,
absolute_path: bool = False):
""" """
Write XDMF file to directly visualize data from DADF5 file. Write XDMF file to directly visualize data from DADF5 file.
@ -1529,12 +1531,17 @@ class Result:
output : (list of) str output : (list of) str
Names of the datasets included in the XDMF file. Names of the datasets included in the XDMF file.
Defaults to '*', in which case all datasets are considered. Defaults to '*', in which case all datasets are considered.
target_dir : str or pathlib.Path, optional
Directory to save XDMF file. Will be created if non-existent.
absolute_path : bool, optional
Store absolute (instead of relative) path to DADF5 file.
Defaults to False, i.e. the XDMF file expects the
DADF5 file at a stable relative path.
""" """
if self.N_constituents != 1 or len(self.phases) != 1 or not self.structured: if self.N_constituents != 1 or len(self.phases) != 1 or not self.structured:
raise TypeError('XDMF output requires structured grid with single phase and single constituent.') raise TypeError('XDMF output requires structured grid with single phase and single constituent.')
attribute_type_map = defaultdict(lambda:'Matrix', ( ((),'Scalar'), ((3,),'Vector'), ((3,3),'Tensor')) ) attribute_type_map = defaultdict(lambda:'Matrix', ( ((),'Scalar'), ((3,),'Vector'), ((3,3),'Tensor')) )
def number_type_map(dtype): def number_type_map(dtype):
@ -1544,29 +1551,34 @@ class Result:
xdmf = ET.Element('Xdmf') xdmf = ET.Element('Xdmf')
xdmf.attrib={'Version': '2.0', xdmf.attrib = {'Version': '2.0',
'xmlns:xi': 'http://www.w3.org/2001/XInclude'} 'xmlns:xi': 'http://www.w3.org/2001/XInclude'}
domain = ET.SubElement(xdmf, 'Domain') domain = ET.SubElement(xdmf, 'Domain')
collection = ET.SubElement(domain, 'Grid') collection = ET.SubElement(domain, 'Grid')
collection.attrib={'GridType': 'Collection', collection.attrib = {'GridType': 'Collection',
'CollectionType': 'Temporal', 'CollectionType': 'Temporal',
'Name': 'Increments'} 'Name': 'Increments'}
time = ET.SubElement(collection, 'Time') time = ET.SubElement(collection, 'Time')
time.attrib={'TimeType': 'List'} time.attrib = {'TimeType': 'List'}
time_data = ET.SubElement(time, 'DataItem') time_data = ET.SubElement(time, 'DataItem')
times = [self.times[self.increments.index(i)] for i in self.visible['increments']] times = [self.times[self.increments.index(i)] for i in self.visible['increments']]
time_data.attrib={'Format': 'XML', time_data.attrib = {'Format': 'XML',
'NumberType': 'Float', 'NumberType': 'Float',
'Dimensions': f'{len(times)}'} 'Dimensions': f'{len(times)}'}
time_data.text = ' '.join(map(str,times)) time_data.text = ' '.join(map(str,times))
attributes = [] attributes = []
data_items = [] data_items = []
hdf5_name = self.fname.name
hdf5_dir = self.fname.parent
xdmf_dir = Path.cwd() if target_dir is None else Path(target_dir)
hdf5_link = (hdf5_dir if absolute_path else Path(os.path.relpath(hdf5_dir,xdmf_dir.resolve())))/hdf5_name
with h5py.File(self.fname,'r') as f: with h5py.File(self.fname,'r') as f:
for inc in self.visible['increments']: for inc in self.visible['increments']:
@ -1601,8 +1613,7 @@ class Result:
data_items[-1].attrib = {'Format': 'HDF', data_items[-1].attrib = {'Format': 'HDF',
'Precision': '8', 'Precision': '8',
'Dimensions': '{} {} {} 3'.format(*(self.cells[::-1]+1))} 'Dimensions': '{} {} {} 3'.format(*(self.cells[::-1]+1))}
data_items[-1].text = f'{os.path.split(self.fname)[1]}:/{inc}/geometry/u_n' data_items[-1].text = f'{hdf5_link}:/{inc}/geometry/u_n'
for ty in ['phase','homogenization']: for ty in ['phase','homogenization']:
for label in self.visible[ty+'s']: for label in self.visible[ty+'s']:
for field in _match(self.visible['fields'],f['/'.join([inc,ty,label])].keys()): for field in _match(self.visible['fields'],f['/'.join([inc,ty,label])].keys()):
@ -1624,9 +1635,10 @@ class Result:
'Precision': f'{dtype.itemsize}', 'Precision': f'{dtype.itemsize}',
'Dimensions': '{} {} {} {}'.format(*self.cells[::-1],1 if shape == () else 'Dimensions': '{} {} {} {}'.format(*self.cells[::-1],1 if shape == () else
np.prod(shape))} np.prod(shape))}
data_items[-1].text = f'{os.path.split(self.fname)[1]}:{name}' data_items[-1].text = f'{hdf5_link}:{name}'
with util.open_text(self.fname.with_suffix('.xdmf').name,'w') as f: xdmf_dir.mkdir(parents=True,exist_ok=True)
with util.open_text((xdmf_dir/hdf5_name).with_suffix('.xdmf'),'w') as f:
f.write(xml.dom.minidom.parseString(ET.tostring(xdmf).decode()).toprettyxml()) f.write(xml.dom.minidom.parseString(ET.tostring(xdmf).decode()).toprettyxml())
@ -1654,6 +1666,7 @@ class Result:
output: Union[str,list] = '*', output: Union[str,list] = '*',
mode: str = 'cell', mode: str = 'cell',
constituents: IntSequence = None, constituents: IntSequence = None,
target_dir: Union[str, Path] = None,
fill_float: float = np.nan, fill_float: float = np.nan,
fill_int: int = 0, fill_int: int = 0,
parallel: bool = True): parallel: bool = True):
@ -1676,6 +1689,8 @@ class Result:
constituents : (list of) int, optional constituents : (list of) int, optional
Constituents to consider. Constituents to consider.
Defaults to None, in which case all constituents are considered. Defaults to None, in which case all constituents are considered.
target_dir : str or pathlib.Path, optional
Directory to save VTK files. Will be created if non-existent.
fill_float : float fill_float : float
Fill value for non-existent entries of floating point type. Fill value for non-existent entries of floating point type.
Defaults to NaN. Defaults to NaN.
@ -1706,6 +1721,9 @@ class Result:
at_cell_ph,in_data_ph,at_cell_ho,in_data_ho = self._mappings() at_cell_ph,in_data_ph,at_cell_ho,in_data_ho = self._mappings()
vtk_dir = Path.cwd() if target_dir is None else Path(target_dir)
vtk_dir.mkdir(parents=True,exist_ok=True)
with h5py.File(self.fname,'r') as f: with h5py.File(self.fname,'r') as f:
if self.version_minor >= 13: if self.version_minor >= 13:
creator = f.attrs['creator'] if h5py3 else f.attrs['creator'].decode() creator = f.attrs['creator'] if h5py3 else f.attrs['creator'].decode()
@ -1744,8 +1762,9 @@ class Result:
for label,dataset in outs.items(): for label,dataset in outs.items():
v = v.set(' / '.join(['/'.join([ty,field,label]),dataset.dtype.metadata['unit']]),dataset) v = v.set(' / '.join(['/'.join([ty,field,label]),dataset.dtype.metadata['unit']]),dataset)
v.save(f'{self.fname.stem}_inc{inc[10:].zfill(N_digits)}',parallel=parallel)
v.save(vtk_dir/f'{self.fname.stem}_inc{inc.split(prefix_inc)[-1].zfill(N_digits)}',
parallel=parallel)
def get(self, def get(self,
output: Union[str, List[str]] = '*', output: Union[str, List[str]] = '*',
@ -1890,7 +1909,9 @@ class Result:
def export_setup(self, def export_setup(self,
output: Union[str, List[str]] = '*', output: Union[str, List[str]] = '*',
overwrite: bool = False): target_dir: Union[str, Path] = None,
overwrite: bool = False,
):
""" """
Export configuration files. Export configuration files.
@ -1899,21 +1920,35 @@ class Result:
output : (list of) str, optional output : (list of) str, optional
Names of the datasets to export to the file. Names of the datasets to export to the file.
Defaults to '*', in which case all datasets are exported. Defaults to '*', in which case all datasets are exported.
target_dir : str or pathlib.Path, optional
Directory to save configuration files. Will be created if non-existent.
overwrite : bool, optional overwrite : bool, optional
Overwrite existing configuration files. Overwrite existing configuration files.
Defaults to False. Defaults to False.
""" """
def export(name: str, obj: Union[h5py.Dataset,h5py.Group], output: Union[str,List[str]], overwrite: bool): def export(name: str,
if type(obj) == h5py.Dataset and _match(output,[name]): obj: Union[h5py.Dataset,h5py.Group],
d = obj.attrs['description'] if h5py3 else obj.attrs['description'].decode() output: Union[str,List[str]],
if not Path(name).exists() or overwrite: cfg_dir: Path,
with util.open_text(name,'w') as f_out: f_out.write(obj[0].decode()) overwrite: bool):
print(f'Exported {d} to "{name}".')
else:
print(f'"{name}" exists, {d} not exported.')
elif type(obj) == h5py.Group:
os.makedirs(name, exist_ok=True)
cfg = cfg_dir/name
if type(obj) == h5py.Dataset and _match(output,[name]):
d = obj.attrs['description'] if h5py3 else obj.attrs['description'].decode()
if overwrite or not cfg.exists():
with util.open_text(cfg,'w') as f_out: f_out.write(obj[0].decode())
print(f'Exported {d} to "{cfg}".')
else:
print(f'"{cfg}" exists, {d} not exported.')
elif type(obj) == h5py.Group:
cfg.mkdir(parents=True,exist_ok=True)
cfg_dir = (Path.cwd() if target_dir is None else Path(target_dir))
cfg_dir.mkdir(parents=True,exist_ok=True)
with h5py.File(self.fname,'r') as f_in: with h5py.File(self.fname,'r') as f_in:
f_in['setup'].visititems(partial(export,output=output,overwrite=overwrite)) f_in['setup'].visititems(partial(export,
output=output,
cfg_dir=cfg_dir,
overwrite=overwrite))

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@ -323,12 +323,9 @@ class TestResult:
created_first = last.place('sigma').dtype.metadata['created'] created_first = last.place('sigma').dtype.metadata['created']
created_first = datetime.strptime(created_first,'%Y-%m-%d %H:%M:%S%z') created_first = datetime.strptime(created_first,'%Y-%m-%d %H:%M:%S%z')
if overwrite == 'on': last = last.view(protected=overwrite != 'on')
last = last.view(protected=False)
else:
last = last.view(protected=True)
time.sleep(2.) time.sleep(2)
try: try:
last.add_calculation('#sigma#*0.0+311.','sigma','not the Cauchy stress') last.add_calculation('#sigma#*0.0+311.','sigma','not the Cauchy stress')
except ValueError: except ValueError:
@ -380,13 +377,12 @@ class TestResult:
@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<9, reason='missing "Direction" attribute') @pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<9, reason='missing "Direction" attribute')
def test_vtk(self,request,tmp_path,ref_path,update,patch_execution_stamp,patch_datetime_now,output,fname,inc): def test_vtk(self,request,tmp_path,ref_path,update,patch_execution_stamp,patch_datetime_now,output,fname,inc):
result = Result(ref_path/fname).view(increments=inc) result = Result(ref_path/fname).view(increments=inc)
os.chdir(tmp_path) result.export_VTK(output,target_dir=tmp_path,parallel=False)
result.export_VTK(output,parallel=False)
fname = fname.split('.')[0]+f'_inc{(inc if type(inc) == int else inc[0]):0>2}.vti' fname = fname.split('.')[0]+f'_inc{(inc if type(inc) == int else inc[0]):0>2}.vti'
v = VTK.load(tmp_path/fname) v = VTK.load(tmp_path/fname)
v.comments = 'n/a' v.comments = 'n/a'
v.save(tmp_path/fname,parallel=False) v.save(tmp_path/fname,parallel=False)
with open(fname) as f: with open(tmp_path/fname) as f:
cur = hashlib.md5(f.read().encode()).hexdigest() cur = hashlib.md5(f.read().encode()).hexdigest()
if update: if update:
with open((ref_path/'export_VTK'/request.node.name).with_suffix('.md5'),'w') as f: with open((ref_path/'export_VTK'/request.node.name).with_suffix('.md5'),'w') as f:
@ -416,34 +412,34 @@ class TestResult:
with pytest.raises(ValueError): with pytest.raises(ValueError):
single_phase.export_VTK(mode='invalid') single_phase.export_VTK(mode='invalid')
def test_vtk_custom_path(self,tmp_path,single_phase):
export_dir = tmp_path/'export_dir'
single_phase.export_VTK(mode='point',target_dir=export_dir,parallel=False)
assert set(os.listdir(export_dir))==set([f'{single_phase.fname.stem}_inc{i:02}.vtp' for i in range(0,40+1,4)])
def test_XDMF_datatypes(self,tmp_path,single_phase,update,ref_path): def test_XDMF_datatypes(self,tmp_path,single_phase,update,ref_path):
for shape in [('scalar',()),('vector',(3,)),('tensor',(3,3)),('matrix',(12,))]: for what,shape in {'scalar':(),'vector':(3,),'tensor':(3,3),'matrix':(12,)}.items():
for dtype in ['f4','f8','i1','i2','i4','i8','u1','u2','u4','u8']: for dtype in ['f4','f8','i1','i2','i4','i8','u1','u2','u4','u8']:
single_phase.add_calculation(f"np.ones(np.shape(#F#)[0:1]+{shape[1]},'{dtype}')",f'{shape[0]}_{dtype}') single_phase.add_calculation(f"np.ones(np.shape(#F#)[0:1]+{shape},'{dtype}')",f'{what}_{dtype}')
fname = os.path.splitext(os.path.basename(single_phase.fname))[0]+'.xdmf' xdmf_path = tmp_path/single_phase.fname.with_suffix('.xdmf').name
os.chdir(tmp_path) single_phase.export_XDMF(target_dir=tmp_path)
single_phase.export_XDMF()
if update: if update:
shutil.copy(tmp_path/fname,ref_path/fname) shutil.copy(xdmf_path,ref_path/xdmf_path.name)
assert sorted(open(xdmf_path).read()) == sorted(open(ref_path/xdmf_path.name).read())
assert sorted(open(tmp_path/fname).read()) == sorted(open(ref_path/fname).read()) # XML is not ordered
@pytest.mark.skipif(not (hasattr(vtk,'vtkXdmfReader') and hasattr(vtk.vtkXdmfReader(),'GetOutput')), @pytest.mark.skipif(not (hasattr(vtk,'vtkXdmfReader') and hasattr(vtk.vtkXdmfReader(),'GetOutput')),
reason='https://discourse.vtk.org/t/2450') reason='https://discourse.vtk.org/t/2450')
def test_XDMF_shape(self,tmp_path,single_phase): def test_XDMF_shape(self,tmp_path,single_phase):
os.chdir(tmp_path) single_phase.export_XDMF(target_dir=single_phase.fname.parent)
fname = single_phase.fname.with_suffix('.xdmf')
single_phase.export_XDMF()
fname = os.path.splitext(os.path.basename(single_phase.fname))[0]+'.xdmf'
reader_xdmf = vtk.vtkXdmfReader() reader_xdmf = vtk.vtkXdmfReader()
reader_xdmf.SetFileName(fname) reader_xdmf.SetFileName(fname)
reader_xdmf.Update() reader_xdmf.Update()
dim_xdmf = reader_xdmf.GetOutput().GetDimensions() dim_xdmf = reader_xdmf.GetOutput().GetDimensions()
bounds_xdmf = reader_xdmf.GetOutput().GetBounds() bounds_xdmf = reader_xdmf.GetOutput().GetBounds()
single_phase.view(increments=0).export_VTK(parallel=False) single_phase.view(increments=0).export_VTK(target_dir=single_phase.fname.parent,parallel=False)
fname = os.path.splitext(os.path.basename(single_phase.fname))[0]+'_inc00.vti' fname = single_phase.fname.with_name(single_phase.fname.stem+'_inc00.vti')
reader_vti = vtk.vtkXMLImageDataReader() reader_vti = vtk.vtkXMLImageDataReader()
reader_vti.SetFileName(fname) reader_vti.SetFileName(fname)
reader_vti.Update() reader_vti.Update()
@ -455,6 +451,40 @@ class TestResult:
with pytest.raises(TypeError): with pytest.raises(TypeError):
default.export_XDMF() default.export_XDMF()
def test_XDMF_custom_path(self,single_phase,tmp_path):
os.chdir(tmp_path)
single_phase.export_XDMF()
assert single_phase.fname.with_suffix('.xdmf').name in os.listdir(tmp_path)
export_dir = tmp_path/'export_dir'
single_phase.export_XDMF(target_dir=export_dir)
assert single_phase.fname.with_suffix('.xdmf').name in os.listdir(export_dir)
@pytest.mark.skipif(not (hasattr(vtk,'vtkXdmfReader') and hasattr(vtk.vtkXdmfReader(),'GetOutput')),
reason='https://discourse.vtk.org/t/2450')
def test_XDMF_relabs_path(self,single_phase,tmp_path):
def dims(xdmf):
reader_xdmf = vtk.vtkXdmfReader()
reader_xdmf.SetFileName(xdmf)
reader_xdmf.Update()
return reader_xdmf.GetOutput().GetDimensions()
single_phase.export_XDMF(target_dir=tmp_path)
xdmfname = single_phase.fname.with_suffix('.xdmf').name
ref_dims = dims(tmp_path/xdmfname)
for (d,info) in {
'A': dict(absolute_path=True,
mv='..',
),
'B': dict(absolute_path=False,
mv='../A',
),
}.items():
sub = tmp_path/d; sub.mkdir(exist_ok=True)
single_phase.export_XDMF(target_dir=sub,absolute_path=info['absolute_path'])
os.replace(sub/xdmfname,sub/info['mv']/xdmfname)
assert ref_dims == dims(sub/info['mv']/xdmfname)
@pytest.mark.parametrize('view,output,flatten,prune', @pytest.mark.parametrize('view,output,flatten,prune',
[({},['F','P','F','L_p','F_e','F_p'],True,True), [({},['F','P','F','L_p','F_e','F_p'],True,True),
({'increments':3},'F',True,True), ({'increments':3},'F',True,True),
@ -511,7 +541,17 @@ class TestResult:
@pytest.mark.parametrize('output',['material.yaml','*']) @pytest.mark.parametrize('output',['material.yaml','*'])
@pytest.mark.parametrize('overwrite',[True,False]) @pytest.mark.parametrize('overwrite',[True,False])
def test_export_setup(self,ref_path,tmp_path,fname,output,overwrite): def test_export_setup(self,ref_path,tmp_path,fname,output,overwrite):
os.chdir(tmp_path)
r = Result(ref_path/fname) r = Result(ref_path/fname)
r.export_setup(output,overwrite) r.export_setup(output,target_dir=tmp_path,overwrite=overwrite)
r.export_setup(output,overwrite)
def test_export_setup_custom_path(self,ref_path,tmp_path):
src = ref_path/'4grains2x4x3_compressionY.hdf5'
subdir = 'export_dir'
absdir = tmp_path/subdir
absdir.mkdir()
r = Result(src)
for t,cwd in zip([absdir,subdir,None],[tmp_path,tmp_path,absdir]):
os.chdir(cwd)
r.export_setup('material.yaml',target_dir=t)
assert 'material.yaml' in os.listdir(absdir); (absdir/'material.yaml').unlink()