Relocated simulation file in dashboard

src/python/impactx/dashboard/Analyze/plotsMain.py

@@ -14,10 +14,10 @@
 from trame.widgets import matplotlib, plotly, vuetify
 from wurlitzer import pipes
 
+from ..simulation import run_simulation
 from ..trame_setup import setup_server
 from .analyzeFunctions import AnalyzeFunctions
 from .plot_ParameterEvolutionOverS.overS import line_plot_1d
-from .plot_PhaseSpaceProjections.phaseSpace import run_simulation
 
 server, state, ctrl = setup_server()
 

src/python/impactx/dashboard/Analyze/plot_PhaseSpaceProjections/phaseSpace.py → src/python/impactx/dashboard/simulation.py

@@ -1,79 +1,81 @@
-"""
-This file is part of ImpactX
-
-Copyright 2024 ImpactX contributors
-Authors: Parthib Roy, Axel Huebl
-License: BSD-3-Clause-LBNL
-"""
-
-from ...trame_setup import setup_server
-
-server, state, ctrl = setup_server()
-
-import base64
-import io
-
-from impactx import Config, ImpactX
-
-from ...Input.distributionParameters.distributionMain import distribution_parameters
-from ...Input.latticeConfiguration.latticeMain import lattice_elements
-from ..plot_PhaseSpaceProjections.phaseSpaceSettings import adjusted_settings_plot
-
-# Call MPI_Init and MPI_Finalize only once:
-if Config.have_mpi:
-    from mpi4py import MPI  # noqa
-
-
-def fig_to_base64(fig):
-    """
-    Puts png in trame-compatible form
-    """
-    buf = io.BytesIO()
-    fig.savefig(buf, format="png")
-    buf.seek(0)
-    return base64.b64encode(buf.read()).decode("utf-8")
-
-
-def run_simulation():
-    """
-    This tests using ImpactX and Pandas Dataframes
-    """
-    sim = ImpactX()
-
-    sim.particle_shape = state.particle_shape
-    sim.space_charge = False
-    sim.slice_step_diagnostics = True
-    sim.init_grids()
-
-    # init particle beam
-    kin_energy_MeV = state.kin_energy_MeV
-    bunch_charge_C = state.bunch_charge_C
-    npart = state.npart
-
-    #   reference particle
-    pc = sim.particle_container()
-    ref = pc.ref_particle()
-    ref.set_charge_qe(state.charge_qe).set_mass_MeV(state.mass_MeV).set_kin_energy_MeV(
-        kin_energy_MeV
-    )
-
-    distribution = distribution_parameters()
-    sim.add_particles(bunch_charge_C, distribution, npart)
-
-    lattice_configuration = lattice_elements()
-
-    sim.lattice.extend(lattice_configuration)
-
-    # simulate
-    sim.evolve()
-
-    fig = adjusted_settings_plot(pc)
-    fig_original = pc.plot_phasespace()
-
-    if fig_original is not None:
-        image_base64 = fig_to_base64(fig_original)
-        state.image_data = f"data:image/png;base64, {image_base64}"
-
-    sim.finalize()
-
-    return fig
+"""
+This file is part of ImpactX
+
+Copyright 2024 ImpactX contributors
+Authors: Parthib Roy, Axel Huebl
+License: BSD-3-Clause-LBNL
+"""
+
+from .trame_setup import setup_server
+
+server, state, ctrl = setup_server()
+
+import base64
+import io
+
+from impactx import Config, ImpactX
+
+from .Analyze.plot_PhaseSpaceProjections.phaseSpaceSettings import (
+    adjusted_settings_plot,
+)
+from .Input.distributionParameters.distributionMain import distribution_parameters
+from .Input.latticeConfiguration.latticeMain import lattice_elements
+
+# Call MPI_Init and MPI_Finalize only once:
+if Config.have_mpi:
+    from mpi4py import MPI  # noqa
+
+
+def fig_to_base64(fig):
+    """
+    Puts png in trame-compatible form
+    """
+    buf = io.BytesIO()
+    fig.savefig(buf, format="png")
+    buf.seek(0)
+    return base64.b64encode(buf.read()).decode("utf-8")
+
+
+def run_simulation():
+    """
+    This tests using ImpactX and Pandas Dataframes
+    """
+    sim = ImpactX()
+
+    sim.particle_shape = state.particle_shape
+    sim.space_charge = False
+    sim.slice_step_diagnostics = True
+    sim.init_grids()
+
+    # init particle beam
+    kin_energy_MeV = state.kin_energy_MeV
+    bunch_charge_C = state.bunch_charge_C
+    npart = state.npart
+
+    #   reference particle
+    pc = sim.particle_container()
+    ref = pc.ref_particle()
+    ref.set_charge_qe(state.charge_qe).set_mass_MeV(state.mass_MeV).set_kin_energy_MeV(
+        kin_energy_MeV
+    )
+
+    distribution = distribution_parameters()
+    sim.add_particles(bunch_charge_C, distribution, npart)
+
+    lattice_configuration = lattice_elements()
+
+    sim.lattice.extend(lattice_configuration)
+
+    # simulate
+    sim.evolve()
+
+    fig = adjusted_settings_plot(pc)
+    fig_original = pc.plot_phasespace()
+
+    if fig_original is not None:
+        image_base64 = fig_to_base64(fig_original)
+        state.image_data = f"data:image/png;base64, {image_base64}"
+
+    sim.finalize()
+
+    return fig