r"""
Version for trame 1.x - https://github.com/Kitware/trame/blob/release-v1/examples/VTK/Applications/FiniteElementAnalysis/app_remote_view.py
Delta v1..v2          - https://github.com/Kitware/trame/commit/03f28bb0084490acabf218264b96a1dbb3a17f19

Installation requirements:
    pip install trame trame-vuetify trame-vtk
"""

import io
import os

import numpy as np
import pandas as pd
import vtkmodules.vtkRenderingOpenGL2  # noqa
from vtkmodules.numpy_interface.dataset_adapter import numpyTovtkDataArray as np2da
from vtkmodules.util import vtkConstants
from vtkmodules.vtkCommonCore import vtkIdList, vtkLookupTable, vtkPoints
from vtkmodules.vtkCommonDataModel import vtkCellArray, vtkUnstructuredGrid
from vtkmodules.vtkFiltersCore import vtkThreshold

# Add import for the rendering
from vtkmodules.vtkInteractionStyle import vtkInteractorStyleSwitch  # noqa
from vtkmodules.vtkRenderingCore import (
    vtkActor,
    vtkDataSetMapper,
    vtkRenderer,
    vtkRenderWindow,
    vtkRenderWindowInteractor,
)

from trame.app import get_server
from trame.ui.vuetify import SinglePageLayout
from trame.widgets import vtk as vtk_widgets
from trame.widgets import vuetify

# -----------------------------------------------------------------------------
# Trame setup
# -----------------------------------------------------------------------------

server = get_server(client_type="vue2")
state, ctrl = server.state, server.controller

# -----------------------------------------------------------------------------
# VTK pipeline
# -----------------------------------------------------------------------------

vtk_idlist = vtkIdList()
vtk_grid = vtkUnstructuredGrid()
vtk_filter = vtkThreshold()
vtk_filter.SetInputData(vtk_grid)
field_to_keep = "my_array"

renderer = vtkRenderer()
renderer.SetBackground(0.8, 0.8, 0.8)
renderWindow = vtkRenderWindow()
renderWindow.AddRenderer(renderer)

renderWindowInteractor = vtkRenderWindowInteractor()
renderWindowInteractor.SetRenderWindow(renderWindow)
renderWindowInteractor.GetInteractorStyle().SetCurrentStyleToTrackballCamera()

filter_mapper = vtkDataSetMapper()
filter_mapper.SetInputConnection(vtk_filter.GetOutputPort())
filter_actor = vtkActor()
filter_actor.SetMapper(filter_mapper)
renderer.AddActor(filter_actor)

lut = vtkLookupTable()
lut.SetHueRange(0.667, 0)
lut.Build()
filter_mapper.SetLookupTable(lut)

mesh_mapper = vtkDataSetMapper()
mesh_mapper.SetInputData(vtk_grid)
mesh_mapper.SetScalarVisibility(0)
mesh_actor = vtkActor()
mesh_actor.SetMapper(mesh_mapper)
renderer.AddActor(mesh_actor)


@state.change("nodes_file", "elems_file", "field_file")
def update_grid(nodes_file, elems_file, field_file, **kwargs):
    if not nodes_file:
        return

    if not elems_file:
        return

    nodes_bytes = nodes_file.get("content")
    elems_bytes = elems_file.get("content")

    if isinstance(nodes_bytes, list):
        nodes_bytes = b"".join(nodes_bytes)

    if isinstance(elems_bytes, list):
        elems_bytes = b"".join(elems_bytes)

    df_nodes = pd.read_csv(
        io.StringIO(nodes_bytes.decode("utf-8")),
        delim_whitespace=True,
        header=None,
        skiprows=1,
        names=["id", "x", "y", "z"],
    )

    df_nodes["id"] = df_nodes["id"].astype(int)
    df_nodes = df_nodes.set_index("id", drop=True)
    # fill missing ids in range as VTK uses position (index) to map cells to points
    df_nodes = df_nodes.reindex(
        np.arange(df_nodes.index.min(), df_nodes.index.max() + 1), fill_value=0
    )

    df_elems = pd.read_csv(
        io.StringIO(elems_bytes.decode("utf-8")),
        skiprows=1,
        header=None,
        delim_whitespace=True,
        engine="python",
        index_col=None,
    ).sort_values(0)
    # order: 0: eid, 1: eshape, 2+: nodes, iloc[:,0] is index
    df_elems.iloc[:, 0] = df_elems.iloc[:, 0].astype(int)

    n_nodes = df_elems.iloc[:, 1].map(
        lambda x: int("".join(i for i in x if i.isdigit()))
    )
    df_elems.insert(2, "n_nodes", n_nodes)
    # fill missing ids in range as VTK uses position (index) to map data to cells
    new_range = np.arange(df_elems.iloc[:, 0].min(), df_elems.iloc[:, 0].max() + 1)
    df_elems = df_elems.set_index(0, drop=False).reindex(new_range, fill_value=0)

    # mapping specific to Ansys Mechanical data
    vtk_shape_id_map = {
        "Tet4": vtkConstants.VTK_TETRA,
        "Tet10": vtkConstants.VTK_QUADRATIC_TETRA,
        "Hex8": vtkConstants.VTK_HEXAHEDRON,
        "Hex20": vtkConstants.VTK_QUADRATIC_HEXAHEDRON,
        "Tri6": vtkConstants.VTK_QUADRATIC_TRIANGLE,
        "Quad8": vtkConstants.VTK_QUADRATIC_QUAD,
        "Tri3": vtkConstants.VTK_TRIANGLE,
        "Quad4": vtkConstants.VTK_QUAD,
        "Wed15": vtkConstants.VTK_QUADRATIC_WEDGE,
    }
    df_elems["cell_types"] = np.nan
    df_elems.loc[df_elems.loc[:, 0] > 0, "cell_types"] = df_elems.loc[
        df_elems.loc[:, 0] > 0, 1
    ].map(
        lambda x: (
            vtk_shape_id_map[x.strip()]
            if x.strip() in vtk_shape_id_map.keys()
            else np.nan
        )
    )
    df_elems = df_elems.dropna(subset=["cell_types"], axis=0)

    # convert dataframes to vtk-desired format
    points = df_nodes[["x", "y", "z"]].to_numpy()
    cell_types = df_elems["cell_types"].to_numpy()
    n_nodes = df_elems.loc[:, "n_nodes"].to_numpy()
    # subtract starting node id from all grid references in cells to avoid
    # filling from 0 to first used node (in case mesh doesn't start at 1)
    p = df_elems.iloc[:, 3:-1].to_numpy() - df_nodes.index.min()
    # if you need to, re-order nodes here-ish
    a = np.hstack((n_nodes.reshape((len(n_nodes), 1)), p))
    # convert to flat numpy array
    cells = a.ravel()
    # remove nans (due to elements with different no. of nodes)
    cells = cells[np.logical_not(np.isnan(cells))]
    cells = cells.astype(int)

    # update grid
    vtk_pts = vtkPoints()
    vtk_pts.SetData(np2da(points))
    vtk_grid.SetPoints(vtk_pts)

    vtk_cells = vtkCellArray()
    vtk_cells.SetCells(
        cell_types.shape[0], np2da(cells, array_type=vtkConstants.VTK_ID_TYPE)
    )
    vtk_grid.SetCells(
        np2da(cell_types, array_type=vtkConstants.VTK_UNSIGNED_CHAR), vtk_cells
    )
    state.mesh_status = 1

    # Add field if any
    if field_file:
        field_bytes = field_file.get("content")
        if isinstance(field_bytes, list):
            field_bytes = b"".join(field_bytes)
        df_elem_data = pd.read_csv(
            io.StringIO(field_bytes.decode("utf-8")),
            delim_whitespace=True,
            header=None,
            skiprows=1,
            names=["id", "val"],
        )
        df_elem_data = df_elem_data.sort_values("id").set_index("id", drop=True)
        # fill missing ids in range as VTK uses position (index) to map data to cells
        df_elem_data = df_elem_data.reindex(
            np.arange(df_elems.index.min(), df_elems.index.max() + 1), fill_value=0.0
        )
        np_val = df_elem_data["val"].to_numpy()
        # assign data to grid with the name 'my_array'
        vtk_array = np2da(np_val, name=field_to_keep)
        vtk_grid.GetCellData().SetScalars(vtk_array)
        full_min, full_max = vtk_array.GetRange()
        state.full_min = full_min
        state.full_max = full_max
        state.threshold_range = [full_min, full_max]
        state.mesh_status = 2

        # Color handling in plain VTK
        filter_mapper.SetScalarRange(full_min, full_max)

        # Write dataset as VTU
        # from vtkmodules.vtkIOXML import vtkXMLUnstructuredGridWriter
        # writer = vtkXMLUnstructuredGridWriter()
        # writer.SetFileName("fea.vtu")
        # writer.SetInputData(vtk_grid)
        # writer.SetCompressorTypeToZLib()
        # writer.SetCompressionLevel(6)
        # writer.SetDataModeToAppended()
        # writer.Write()

    renderer.ResetCamera()
    ctrl.view_update()


@state.change("threshold_range")
def update_filter(threshold_range, **kwargs):
    # Comment if you want to have a fix color range
    filter_mapper.SetScalarRange(threshold_range)
    vtk_filter.SetLowerThreshold(threshold_range[0])
    vtk_filter.SetUpperThreshold(threshold_range[1])
    ctrl.view_update()


@state.change("mesh_status")
def update_mesh_representations(**kwargs):
    # defaults
    color = [1, 1, 1]
    representation = 2
    opacity = 1

    if state.mesh_status == 2:
        color = [0.3, 0.3, 0.3]
        representation = 1
        opacity = 0.2

    property = mesh_actor.GetProperty()
    property.SetRepresentation(representation)
    property.SetColor(color)
    property.SetOpacity(opacity)
    property.SetLineWidth(2)
    ctrl.view_update()


def reset():
    state.update(
        {
            "nodes_file": None,
            "elems_file": None,
            "field_file": None,
            "mesh_status": 0,
        }
    )


# -----------------------------------------------------------------------------
# Web App setup
# -----------------------------------------------------------------------------
file_style = {
    "dense": True,
    "hide_details": True,
    "style": "max-width: 200px",
    "class": "mx-2",
    "small_chips": True,
    "clearable": ("false",),
    "accept": ".txt",
}

state.trame__title = "FEA - Mesh viewer"


with SinglePageLayout(server) as layout:
    layout.icon.click = reset
    layout.title.set_text("Mesh Viewer")

    # Toolbar ----------------------------------------
    with layout.toolbar:
        vuetify.VSpacer()
        vuetify.VRangeSlider(
            thumb_size=16,
            thumb_label=True,
            label="Threshold",
            v_if=("mesh_status > 1",),
            v_model=("threshold_range", [0, 1]),
            min=("full_min", 0),
            max=("full_max", 1),
            dense=True,
            hide_details=True,
            style="max-width: 400px",
        )
        vuetify.VFileInput(
            v_show=("mesh_status < 1",),
            prepend_icon="mdi-vector-triangle",
            v_model=("nodes_file", None),
            placeholder="Nodes",
            **file_style,
        )
        vuetify.VFileInput(
            v_show=("mesh_status < 1",),
            prepend_icon="mdi-dots-triangle",
            v_model=("elems_file", None),
            placeholder="Elements",
            **file_style,
        )
        vuetify.VFileInput(
            v_show=("mesh_status < 2",),
            prepend_icon="mdi-gradient",
            v_model=("field_file", None),
            placeholder="Field",
            **file_style,
        )
        with vuetify.VBtn(
            v_if=("mesh_status",), icon=True, click=ctrl.view_reset_camera
        ):
            vuetify.VIcon("mdi-crop-free")

        vuetify.VProgressLinear(
            indeterminate=True, absolute=True, bottom=True, active=("trame__busy",)
        )

    # Content ----------------------------------------
    with layout.content:
        with vuetify.VContainer(
            fluid=True,
            classes="pa-0 fill-height",
            style="position: relative",
        ):
            html_view = vtk_widgets.VtkRemoteView(
                renderWindow, interactive_ratio=("1",), interactive_quality=(80,)
            )
            ctrl.view_update = html_view.update
            ctrl.view_reset_camera = html_view.reset_camera


# Variables not defined within HTML but used
state.mesh_status = 0  # 0: empty / 1: mesh / 2: mesh+filter

# -----------------------------------------------------------------------------
# Use --data to skip file upload
# -----------------------------------------------------------------------------

parser = server.cli
parser.add_argument("--data", help="Unstructured file path", dest="data")
args = parser.parse_args()
if args.data:
    from vtkmodules.vtkIOXML import vtkXMLUnstructuredGridReader

    reader = vtkXMLUnstructuredGridReader()
    reader.SetFileName(os.path.abspath(args.data))
    reader.Update()
    vtu = reader.GetOutput()
    vtk_grid.ShallowCopy(vtu)

    vtk_array = vtu.GetCellData().GetScalars()
    full_min, full_max = vtk_array.GetRange()
    state.full_min = full_min
    state.full_max = full_max
    state.threshold_range = [full_min, full_max]
    state.mesh_status = 2
    update_mesh_representations()

# -----------------------------------------------------------------------------

if __name__ == "__main__":
    server.start()