def get_schema(sim_type):
if sim_type in _SCHEMA_CACHE:
return _SCHEMA_CACHE[sim_type]
schema = read_json(STATIC_FOLDER.join('json/{}-schema'.format(sim_type)))
pkcollections.mapping_merge(schema, SCHEMA_COMMON)
pkcollections.mapping_merge(
schema,
{'feature_config': feature_config.for_sim_type(sim_type)},
)
schema.simulationType = sim_type
_SCHEMA_CACHE[sim_type] = schema
#TODO(mvk): improve merging common and local schema
_merge_dicts(schema.common.dynamicFiles, schema.dynamicFiles)
schema.dynamicModules = _files_in_schema(schema.dynamicFiles)
for item in [
'appModes', 'constants', 'cookies', 'enum', 'notifications',
'localRoutes', 'model', 'view'
]:
if item not in schema:
schema[item] = pkcollections.Dict()
_merge_dicts(schema.common[item], schema[item])
_validate_schema(schema)
return schema
def _propagation(values):
merged = copy.deepcopy(_PROPAGATION)
pkcollections.mapping_merge(merged, values)
return pkcollections.map_values(
merged,
lambda v: int(v) if isinstance(v, bool) else v,
)
def get_schema(sim_type):
if sim_type in _SCHEMA_CACHE:
return _SCHEMA_CACHE[sim_type]
schema = read_json(STATIC_FOLDER.join('json/{}-schema'.format(sim_type)))
pkcollections.mapping_merge(schema, SCHEMA_COMMON)
pkcollections.mapping_merge(
schema,
{'feature_config': feature_config.for_sim_type(sim_type)},
)
schema['simulationType'] = sim_type
_SCHEMA_CACHE[sim_type] = schema
# merge common models into app models
common_models = schema['commonModels']
app_models = schema['model']
for model_Name in common_models:
if model_Name not in app_models:
app_models[model_Name] = common_models[model_Name]
for model_field_name in common_models[model_Name]:
if model_field_name not in app_models[model_Name]:
app_models[model_Name][model_field_name] = common_models[
model_Name][model_field_name]
# merge common enums into app models
common_enums = schema['commonEnums']
app_enums = schema['enum']
for enum_Name in common_enums:
if enum_Name not in app_enums:
app_enums[enum_Name] = common_enums[enum_Name]
# merge common views into app views - since these can be deeply nested, for now merge only
# the title, basic fields, and top level of advanced fields
common_views = schema['commonViews']
app_views = schema['view']
for view_Name in common_views:
if view_Name not in app_views:
app_views[view_Name] = common_views[view_Name]
if 'title' not in app_views[view_Name] and 'title' in common_views[
view_Name]:
app_views[view_Name]['title'] = common_views[view_Name]['title']
if 'basic' not in app_views[view_Name] and 'basic' in common_views[
view_Name]:
for basic_field in common_views[view_Name]['basic']:
if basic_field not in app_views[view_Name]['basic']:
app_views[view_Name]['basic'][basic_field] = basic_field
if 'advanced' in common_views[view_Name]:
for advanced_field in common_views[view_Name]['advanced']:
# ignore arrays
if isinstance(
advanced_field, basestring
) and advanced_field not in app_views[view_Name]['advanced']:
app_views[view_Name]['advanced'].append(advanced_field)
return schema
def get_schema(sim_type):
if sim_type in _SCHEMA_CACHE:
return _SCHEMA_CACHE[sim_type]
schema = read_json(STATIC_FOLDER.join('json/{}-schema'.format(sim_type)))
pkcollections.mapping_merge(schema, SCHEMA_COMMON)
pkcollections.mapping_merge(
schema,
{'feature_config': feature_config.for_sim_type(sim_type)},
)
schema['simulationType'] = sim_type
_SCHEMA_CACHE[sim_type] = schema
return schema
def get_schema(sim_type):
if sim_type in _SCHEMA_CACHE:
return _SCHEMA_CACHE[sim_type]
schema = read_json(
STATIC_FOLDER.join('json/{}-schema'.format(sim_type)))
pkcollections.mapping_merge(schema, SCHEMA_COMMON)
pkcollections.mapping_merge(
schema,
{'feature_config': feature_config.for_sim_type(sim_type)},
)
schema['simulationType'] = sim_type
_SCHEMA_CACHE[sim_type] = schema
return schema
def get_schema(sim_type):
if sim_type in _SCHEMA_CACHE:
return _SCHEMA_CACHE[sim_type]
schema = read_json(STATIC_FOLDER.join('json/{}-schema'.format(sim_type)))
pkcollections.mapping_merge(schema, SCHEMA_COMMON)
pkcollections.mapping_merge(
schema,
{'feature_config': feature_config.for_sim_type(sim_type)},
)
schema['simulationType'] = sim_type
_SCHEMA_CACHE[sim_type] = schema
# merge common local routes into app local routes
util.merge_dicts(schema['commonLocalRoutes'], schema['localRoutes'], 2)
if 'appModes' not in schema:
schema['appModes'] = {}
util.merge_dicts(schema['commonAppModes'], schema['appModes'], 1)
# merge common models into app models
util.merge_dicts(schema['commonModels'], schema['model'], 2)
# merge common enums into app models
util.merge_dicts(schema['commonEnums'], schema['enum'], 1)
# merge common views into app views - since these can be deeply nested, for now merge only
# the title, basic fields, and top level of advanced fields
common_views = schema['commonViews']
app_views = schema['view']
util.merge_dicts(common_views, app_views, 1)
for view_Name in common_views:
if 'title' not in app_views[view_Name] and 'title' in common_views[
view_Name]:
app_views[view_Name]['title'] = common_views[view_Name]['title']
if 'basic' not in app_views[view_Name] and 'basic' in common_views[
view_Name]:
for basic_field in common_views[view_Name]['basic']:
if basic_field not in app_views[view_Name]['basic']:
app_views[view_Name]['basic'][basic_field] = basic_field
if 'advanced' in common_views[view_Name]:
for advanced_field in common_views[view_Name]['advanced']:
# ignore arrays
if isinstance(
advanced_field, basestring
) and advanced_field not in app_views[view_Name]['advanced']:
app_views[view_Name]['advanced'].append(advanced_field)
_validate_schema(schema)
return schema
def get_schema(sim_type):
"""Get the schema for `sim_type`
If sim_type is None, it will return the schema for the first sim_type
in `feature_config.cfg().sim_types`
Args:
sim_type (str): must be valid
Returns:
dict: Shared schem
"""
t = sirepo.template.assert_sim_type(sim_type) if sim_type is not None \
else list(feature_config.cfg().sim_types)[0]
if t in _SCHEMA_CACHE:
return _SCHEMA_CACHE[t]
schema = read_json(STATIC_FOLDER.join('json/{}-schema'.format(t)))
pkcollections.mapping_merge(schema, SCHEMA_COMMON)
pkcollections.mapping_merge(
schema,
PKDict(feature_config=feature_config.for_sim_type(t)),
)
schema.feature_config = feature_config.for_sim_type(t)
schema.simulationType = t
_SCHEMA_CACHE[t] = schema
#TODO(mvk): improve merging common and local schema
_merge_dicts(schema.common.dynamicFiles, schema.dynamicFiles)
schema.dynamicModules = _files_in_schema(schema.dynamicFiles)
for item in [
'appModes', 'constants', 'cookies', 'enum', 'notifications',
'localRoutes', 'model', 'view'
]:
if item not in schema:
schema[item] = PKDict()
_merge_dicts(schema.common[item], schema[item])
_merge_subclasses(schema, item)
srschema.validate(schema)
return schema
def get_schema(sim_type):
if sim_type in _SCHEMA_CACHE:
return _SCHEMA_CACHE[sim_type]
schema = read_json(
STATIC_FOLDER.join('json/{}-schema'.format(sim_type)))
pkcollections.mapping_merge(schema, SCHEMA_COMMON)
pkcollections.mapping_merge(
schema,
{'feature_config': feature_config.for_sim_type(sim_type)},
)
schema.simulationType = sim_type
_SCHEMA_CACHE[sim_type] = schema
#TODO(mvk): improve merging common and local schema
_merge_dicts(schema.common.dynamicFiles, schema.dynamicFiles)
schema.dynamicModules = _files_in_schema(schema.dynamicFiles)
for item in ['appModes', 'constants', 'cookies', 'enum', 'notifications', 'localRoutes', 'model', 'view']:
if item not in schema:
schema[item] = pkcollections.Dict()
_merge_dicts(schema.common[item], schema[item])
_validate_schema(schema)
return schema
def test_mapping_merge():
n, order = _random_init()
pkcollections.mapping_merge(n, {})
assert list(order) == _keys(n), \
'mapping_merge of empty dict should do nothing'
pkcollections.mapping_merge(n, OrderedMapping())
assert list(order) == _keys(n), \
'mapping_merge of empty OrderedMapping should do nothing'
n2 = OrderedMapping(n)
existing = order[0]
new = '!'
pkcollections.mapping_merge(n, {existing: 3, new: 4})
order += new
assert list(order) == _keys(n), \
'mapping_merge with dict should replace and add'
pkcollections.mapping_merge(n2, OrderedMapping(b=3, c=4))
assert order == _keys(n), \
'mapping_merge with dict should replace and add'
def test_mapping_merge():
n, order = _random_init()
pkcollections.mapping_merge(n, {})
assert list(order) == _keys(n), \
'mapping_merge of empty dict should do nothing'
pkcollections.mapping_merge(n, OrderedMapping())
assert list(order) == _keys(n), \
'mapping_merge of empty OrderedMapping should do nothing'
n2 = OrderedMapping(n)
existing = order[0]
new = '!'
pkcollections.mapping_merge(n, {existing: 3, new: 4})
order += new
assert list(order) == _keys(n), \
'mapping_merge with dict should replace and add'
pkcollections.mapping_merge(n2, OrderedMapping(b=3, c=4))
assert order == _keys(n), \
'mapping_merge with dict should replace and add'
def simulate(params, msg_callback=lambda _: _):
"""Run a multi-particle (thick) simulation and return results
Args:
params (OrderedMapping): configuration parameters
msg_callback (function): Called at various stages to log output
Returns:
OrderedMapping: results and params (see code for format)
"""
p = pkcollections.OrderedMapping()
for k in 'simulation_kind', 'wavefront':
v = params[k]
p[k] = v.value if hasattr(v, 'value') else v
pkcollections.mapping_merge(
p, srw_params.to_undulator_multi_particle(params.undulator))
p.beam = srw_params.to_beam(params.beam)
p.stkF = srw_params.to_wavefront_multi_particle(p.wavefront)
p.stkP = srw_params.to_wavefront_multi_particle(p.wavefront)
p.ar_prec_f = srw_params.to_flux_precision(params.precision)
p.ar_prec_p = srw_params.to_power_precision(params.precision)
p.arPrecPar = [1] #General Precision parameters for Trajectory calculation:
p.fieldInterpMeth = 4
p.plots = []
msg_callback('Performing trajectory calculation')
_trajectory(p)
if params.simulation_kind == 'E':
msg_callback('Performing Electric Field (spectrum vs photon energy) calculation')
msg_callback('Extracting Intensity from calculated Electric Field')
srwlib.srwl.CalcStokesUR(p.stkF, p.beam, p.und, p.ar_prec_f)
p.plots.append([
uti_plot.uti_plot1d,
p.stkF.arS,
[p.stkF.mesh.eStart, p.stkF.mesh.eFin, p.stkF.mesh.ne],
[
'Photon Energy [eV]',
'Flux [ph/s/.1%bw]',
'Flux through Finite Aperture',
],
])
elif params.simulation_kind == 'X':
msg_callback('Performing Power Density calculation (from field) vs x-coordinate calculation')
srwlib.srwl.CalcPowDenSR(p.stkP, p.beam, 0, p.magFldCnt, p.ar_prec_p)
msg_callback('Extracting Intensity from calculated Electric Field')
p.plotMeshX = [1000*p.stkP.mesh.xStart, 1000*p.stkP.mesh.xFin, p.stkP.mesh.nx]
p.powDenVsX = pkarray.new_float([0]*p.stkP.mesh.nx)
for i in xrange(p.stkP.mesh.nx):
powDenVsX[i] = p.stkP.arS[p.stkP.mesh.nx*int(p.stkP.mesh.ny*0.5) + i]
p.plots.append([
uti_plot.uti_plot1d,
p.powDenVsX,
p.plotMeshX,
[
'Horizontal Position [mm]',
'Power Density [W/mm^2]',
'Power Density\n(horizontal cut at y = 0)',
],
])
elif params.simulation_kind == 'Y':
msg_callback('Performing Power Density calculation (from field) vs x-coordinate calculation')
srwlib.srwl.CalcPowDenSR(p.stkP, p.beam, 0, p.magFldCnt, p.ar_prec_p)
msg_callback('Extracting Intensity from calculated Electric Field')
p.plotMeshY = [1000*p.stkP.mesh.yStart, 1000*p.stkP.mesh.yFin, p.stkP.mesh.ny]
p.powDenVsY = pkarray.new_float([0]*p.stkP.mesh.ny)
for i in xrange(p.stkP.mesh.ny):
p.powDenVsY[i] = p.stkP.arS[p.stkP.mesh.ny*int(p.stkP.mesh.nx*0.5) + i]
p.plots.append([
uti_plot.uti_plot1d,
p.powDenVsY,
p.plotMeshY,
[
'Vertical Position [mm]',
'Power Density [W/mm^2]',
'Power Density\n(vertical cut at x = 0)',
],
])
elif params.simulation_kind == 'X_AND_Y':
msg_callback('Performing Electric Field (intensity vs x- and y-coordinate) calculation')
srwlib.srwl.CalcPowDenSR(p.stkP, p.beam, 0, p.magFldCnt, p.ar_prec_p)
msg_callback('Extracting Intensity from calculated Electric Field')
p.plotMeshX = [1000*p.stkP.mesh.xStart, 1000*p.stkP.mesh.xFin, p.stkP.mesh.nx]
p.plotMeshY = [1000*p.stkP.mesh.yStart, 1000*p.stkP.mesh.yFin, p.stkP.mesh.ny]
p.plots.append([
uti_plot.uti_plot2d,
p.stkP.arS,
p.plotMeshX,
p.plotMeshY,
[
'Horizontal Position [mm]',
'Vertical Position [mm]',
'Power Density',
],
])
else:
raise AssertionError('{}: invalid simulation_kind'.format(params.simulation_kind))
return p
def simulate(params, msg_callback):
"""Run a single-particle (thin) simulation and return results
Args:
params (OrderedMapping): map of parameters
msg_callback (function): Called at various stages to log output
Returns:
OrderedMapping: results and params (see code for format)
"""
p = pkcollections.OrderedMapping()
for k in 'polarization', 'intensity', 'simulation_kind', 'wavefront':
v = params[k]
p[k] = v.value if hasattr(v, 'value') else v
pkcollections.mapping_merge(
p, srw_params.to_undulator_single_particle(params.undulator))
p.arPrecPar = srw_params.to_precision_single_particle(params.precision)
p.wfrE = srw_params.to_wavefront_single_particle(p.wavefront)
p.wfrE.partBeam = srw_params.to_beam(params.beam)
p.wfrXY = srw_params.to_wavefront_single_particle(p.wavefront)
p.wfrXY.partBeam = srw_params.to_beam(params.beam)
p.beam = srw_params.to_beam(params.beam)
p.plots = []
skv = p.simulation_kind
if params.simulation_kind == 'E':
msg_callback('Performing Electric Field (spectrum vs photon energy) calculation')
srwlib.srwl.CalcElecFieldSR(p.wfrE, 0, p.magFldCnt, p.arPrecPar)
msg_callback('Extracting Intensity from calculated Electric Field')
p.arI1 = pkarray.new_float([0]*p.wfrE.mesh.ne)
srwlib.srwl.CalcIntFromElecField(
p.arI1, p.wfrE, p.polarization, p.intensity, skv, p.wfrE.mesh.eStart, 0, 0)
p.plots.append([
uti_plot.uti_plot1d,
p.arI1,
[p.wfrE.mesh.eStart, p.wfrE.mesh.eFin, p.wfrE.mesh.ne],
['Photon energy, eV','Spectral intensity, ph/s/0.1%BW','Intensity vs photon energy'],
])
elif params.simulation_kind == 'X':
msg_callback('Performing Electric Field (intensity vs x-coordinate) calculation')
srwlib.srwl.CalcElecFieldSR(p.wfrXY, 0, p.magFldCnt, p.arPrecPar)
msg_callback('Extracting Intensity from calculated Electric Field')
p.arI1 = pkarray.new_float([0]*p.wfrXY.mesh.nx)
srwlib.srwl.CalcIntFromElecField(p.arI1, p.wfrXY, p.polarization, p.intensity, skv, 0, p.wfrXY.mesh.xStart, 0)
p.plots.append([
uti_plot.uti_plot1d,
p.arI1,
[p.wfrXY.mesh.xStart, p.wfrXY.mesh.xFin, p.wfrXY.mesh.nx],
['Horizontal Position [m]','Spectral intensity, ph/s/0.1%BW','Intensity vs x-coordinate'],
])
elif params.simulation_kind == 'Y':
msg_callback('Performing Electric Field (intensity vs y-coordinate) calculation')
srwlib.srwl.CalcElecFieldSR(p.wfrXY, 0, p.magFldCnt, p.arPrecPar)
msg_callback('Extracting Intensity from calculated Electric Field')
p.arI1 = pkarray.new_float([0]*p.wfrXY.mesh.ny)
srwlib.srwl.CalcIntFromElecField(p.arI1, p.wfrXY, p.polarization, p.intensity, skv, 0, p.wfrXY.mesh.yStart, 0)
p.plots.append([
uti_plot.uti_plot1d,
p.arI1,
[p.wfrXY.mesh.yStart, p.wfrXY.mesh.yFin, p.wfrXY.mesh.ny],
['Vertical Position [m]','Spectral intensity, ph/s/0.1%BW','Intensity vs y-coordinate'],
])
elif params.simulation_kind == 'X_AND_Y':
msg_callback('Performing Electric Field (intensity vs x- and y-coordinate) calculation')
srwlib.srwl.CalcElecFieldSR(p.wfrXY, 0, p.magFldCnt, p.arPrecPar)
msg_callback('Extracting Intensity from calculated Electric Field')
p.arI1 = pkarray.new_float([0]*p.wfrXY.mesh.nx*p.wfrXY.mesh.ny)
srwlib.srwl.CalcIntFromElecField(p.arI1, p.wfrXY, p.polarization, p.intensity, skv, p.wfrXY.mesh.eStart, p.wfrXY.mesh.xStart, p.wfrXY.mesh.yStart)
p.plots.append([
uti_plot.uti_plot2d,
p.arI1,
[1*p.wfrXY.mesh.xStart, 1*p.wfrXY.mesh.xFin, p.wfrXY.mesh.nx],
[1*p.wfrXY.mesh.yStart, 1*p.wfrXY.mesh.yFin, p.wfrXY.mesh.ny],
['Horizontal Position [m]', 'Vertical Position [m]', 'Intensity at ' + str(wfrXY.mesh.eStart) + ' eV'],
]),
elif params.simulation_kind == 'E_AND_X':
msg_callback('Performing Electric Field (intensity vs energy- and x-coordinate) calculation')
srwlib.srwl.CalcElecFieldSR(p.wfrXY, 0, p.magFldCnt, p.arPrecPar)
msg_callback('* Extracting Intensity from calculated Electric Field')
p.arI1 = pkarray.new_float([0]*p.wfrXY.mesh.ne*p.wfrXY.mesh.nx)
srwlib.srwl.CalcIntFromElecField(p.arI1, p.wfrXY, p.polarization, p.intensity, skv, p.wfrXY.mesh.eStart, p.wfrXY.mesh.xStart, p.wfrXY.mesh.yStart)
p.plots.append([
uti_plot.uti_plot1d,
p.arI1,
[1*p.wfrXY.mesh.eStart, 1*p.wfrXY.mesh.eFin, p.wfrXY.mesh.ne],
[1*p.wfrXY.mesh.xStart, 1*p.wfrXY.mesh.xFin, p.wfrXY.mesh.nx],
['Energy [eV]', 'Horizontal Position [m]', 'Intensity integrated from ' + str(p.wfrXY.mesh.yStart) + ' to ' + str(p.wfrXY.mesh.yFin) + ' ,m in y-coordinate'],
])
elif params.simulation_kind == 'E_AND_Y':
msg_callback('Performing Electric Field (intensity vs energy- and y-coordinate) calculation')
srwlib.srwl.CalcElecFieldSR(p.wfrXY, 0, p.magFldCnt, p.arPrecPar)
msg_callback('Extracting Intensity from calculated Electric Field')
p.arI1 = pkarray.new_float([0]*p.wfrXY.mesh.ne*p.wfrXY.mesh.ny)
srwlib.srwl.CalcIntFromElecField(p.arI1, p.wfrXY, p.polarization, p.intensity, skv, p.wfrXY.mesh.eStart, p.wfrXY.mesh.xStart, p.wfrXY.mesh.yStart)
p.plots.append([
uti_plot.uti_plot1d,
p.arI1,
[1*p.wfrXY.mesh.eStart, 1*p.wfrXY.mesh.eFin, p.wfrXY.mesh.ne],
[1*p.wfrXY.mesh.yStart, 1*p.wfrXY.mesh.yFin, p.wfrXY.mesh.ny],
['Energy [eV]', 'Vertical Position [m]', 'Intensity integrated from ' + str(p.wfrXY.mesh.xStart) + ' to ' + str(p.wfrXY.mesh.xFin)+ ' ,m in x-coordinate'],
])
else:
raise AssertionError('{}: invalid p.simulation_kind'.format(params.simulation_kind))
return p
