"""
I/O for MED/Salome, cf.
<https://docs.salome-platform.org/latest/dev/MEDCoupling/developer/med-file.html>.
"""
import numpy as np

from .._common import num_nodes_per_cell
from .._exceptions import ReadError, WriteError
from .._helpers import register
from .._mesh import Mesh

# https://docs.salome-platform.org/5/med/dev/med__outils_8hxx.html
# https://bitbucket.org/code_aster/codeaster-src/src/default/catalo/cataelem/Commons/mesh_types.py
meshio_to_med_type = {
    "vertex": "PO1",
    "line": "SE2",
    "line3": "SE3",
    "triangle": "TR3",
    "triangle6": "TR6",
    "quad": "QU4",
    "quad8": "QU8",
    "tetra": "TE4",
    "tetra10": "T10",
    "hexahedron": "HE8",
    "hexahedron20": "H20",
    "pyramid": "PY5",
    "pyramid13": "P13",
    "wedge": "PE6",
    "wedge15": "P15",
}
med_to_meshio_type = {v: k for k, v in meshio_to_med_type.items()}
numpy_void_str = np.string_("")


def read(filename):
    import h5py

    f = h5py.File(filename, "r")

    # Mesh ensemble
    mesh_ensemble = f["ENS_MAA"]
    meshes = mesh_ensemble.keys()
    if len(meshes) != 1:
        raise ReadError(f"Must only contain exactly 1 mesh, found {len(meshes)}.")
    mesh_name = list(meshes)[0]
    mesh = mesh_ensemble[mesh_name]

    dim = mesh.attrs["ESP"]

    # Possible time-stepping
    if "NOE" not in mesh:
        # One needs NOE (node) and MAI (French maillage, meshing) data. If they
        # are not available in the mesh, check for time-steppings.
        time_step = mesh.keys()
        if len(time_step) != 1:
            raise ReadError(
                f"Must only contain exactly 1 time-step, found {len(time_step)}."
            )
        mesh = mesh[list(time_step)[0]]

    # Initialize data
    point_data = {}
    cell_data = {}
    field_data = {}

    # Points
    pts_dataset = mesh["NOE"]["COO"]
    n_points = pts_dataset.attrs["NBR"]
    points = pts_dataset[()].reshape((n_points, dim), order="F")

    # Point tags
    if "FAM" in mesh["NOE"]:
        tags = mesh["NOE"]["FAM"][()]
        point_data["point_tags"] = tags  # replacing previous "point_tags"

    # Information for point tags
    point_tags = {}
    fas = mesh["FAS"] if "FAS" in mesh else f["FAS"][mesh_name]
    if "NOEUD" in fas:
        point_tags = _read_families(fas["NOEUD"])

    # CellBlock
    cells = []
    cell_types = []
    med_cells = mesh["MAI"]
    for med_cell_type, med_cell_type_group in med_cells.items():
        cell_type = med_to_meshio_type[med_cell_type]
        cell_types.append(cell_type)
        nod = med_cell_type_group["NOD"]
        n_cells = nod.attrs["NBR"]
        cells += [(cell_type, nod[()].reshape(n_cells, -1, order="F") - 1)]

        # Cell tags
        if "FAM" in med_cell_type_group:
            tags = med_cell_type_group["FAM"][()]
            if "cell_tags" not in cell_data:
                cell_data["cell_tags"] = []
            cell_data["cell_tags"].append(tags)

    # Information for cell tags
    cell_tags = {}
    if "ELEME" in fas:
        cell_tags = _read_families(fas["ELEME"])

    # Read nodal and cell data if they exist
    try:
        fields = f["CHA"]  # champs (fields) in French
    except KeyError:
        pass
    else:
        profiles = f["PROFILS"] if "PROFILS" in f else None
        _read_data(fields, profiles, cell_types, point_data, cell_data, field_data)

    # Construct the mesh object
    mesh = Mesh(
        points, cells, point_data=point_data, cell_data=cell_data, field_data=field_data
    )
    mesh.point_tags = point_tags
    mesh.cell_tags = cell_tags
    return mesh


def _read_data(fields, profiles, cell_types, point_data, cell_data, field_data):
    for name, data in fields.items():
        if "NOM" in data.attrs:
            if "med:nom" not in field_data:
                field_data["med:nom"] = []
            field_data["med:nom"].append(data.attrs["NOM"].decode().split())

        time_step = sorted(data.keys())  # associated time-steps
        if len(time_step) == 1:  # single time-step
            names = [name]  # do not change field name
        else:  # many time-steps
            names = [None] * len(time_step)
            for i, key in enumerate(time_step):
                t = data[key].attrs["PDT"]  # current time
                names[i] = name + f"[{i:d}] - {t:g}"

        # MED field can contain multiple types of data
        for i, key in enumerate(time_step):
            med_data = data[key]  # at a particular time step
            name = names[i]
            for supp in med_data:
                if supp == "NOE":  # continuous nodal (NOEU) data
                    point_data[name] = _read_nodal_data(med_data, profiles)
                else:  # Gauss points (ELGA) or DG (ELNO) data
                    cell_type = med_to_meshio_type[supp.partition(".")[2]]
                    assert cell_type in cell_types
                    cell_index = cell_types.index(cell_type)
                    if name not in cell_data:
                        cell_data[name] = [None] * len(cell_types)
                    cell_data[name][cell_index] = _read_cell_data(
                        med_data[supp], profiles
                    )


def _read_nodal_data(med_data, profiles):
    profile = med_data["NOE"].attrs["PFL"]
    data_profile = med_data["NOE"][profile]
    n_points = data_profile.attrs["NBR"]
    if profile.decode() == "MED_NO_PROFILE_INTERNAL":  # default profile with everything
        values = data_profile["CO"][()].reshape(n_points, -1, order="F")
    else:
        n_data = profiles[profile].attrs["NBR"]
        index_profile = profiles[profile]["PFL"][()] - 1
        values_profile = data_profile["CO"][()].reshape(n_data, -1, order="F")
        values = np.full((n_points, values_profile.shape[1]), np.nan)
        values[index_profile] = values_profile
    if values.shape[-1] == 1:  # cut off for scalars
        values = values[:, 0]
    return values


def _read_cell_data(med_data, profiles):
    profile = med_data.attrs["PFL"]
    data_profile = med_data[profile]
    n_cells = data_profile.attrs["NBR"]
    n_gauss_points = data_profile.attrs["NGA"]
    if profile.decode() == "MED_NO_PROFILE_INTERNAL":  # default profile with everything
        values = data_profile["CO"][()].reshape(n_cells, n_gauss_points, -1, order="F")
    else:
        n_data = profiles[profile].attrs["NBR"]
        index_profile = profiles[profile]["PFL"][()] - 1
        values_profile = data_profile["CO"][()].reshape(
            n_data, n_gauss_points, -1, order="F"
        )
        values = np.full(
            (n_cells, values_profile.shape[1], values_profile.shape[2]), np.nan
        )
        values[index_profile] = values_profile

    # Only 1 data point per cell, shape -> (n_cells, n_components)
    if n_gauss_points == 1:
        values = values[:, 0, :]
        if values.shape[-1] == 1:  # cut off for scalars
            values = values[:, 0]
    return values


def _read_families(fas_data):
    families = {}
    for _, node_set in fas_data.items():
        set_id = node_set.attrs["NUM"]  # unique set id
        n_subsets = node_set["GRO"].attrs["NBR"]  # number of subsets
        nom_dataset = node_set["GRO"]["NOM"][()]  # (n_subsets, 80) of int8
        name = [None] * n_subsets
        for i in range(n_subsets):
            name[i] = "".join([chr(x) for x in nom_dataset[i]]).strip().rstrip("\x00")
        families[set_id] = name
    return families


def write(filename, mesh):
    import h5py

    # MED doesn't support compression,
    # <https://github.com/nschloe/meshio/issues/781#issuecomment-616438066>
    # compression = None

    f = h5py.File(filename, "w")

    # Strangely the version must be 3.0.x
    # Any version >= 3.1.0 will NOT work with SALOME 8.3
    info = f.create_group("INFOS_GENERALES")
    info.attrs.create("MAJ", 3)
    info.attrs.create("MIN", 0)
    info.attrs.create("REL", 0)

    # Meshes
    mesh_ensemble = f.create_group("ENS_MAA")
    mesh_name = "mesh"
    med_mesh = mesh_ensemble.create_group(mesh_name)
    med_mesh.attrs.create("DIM", mesh.points.shape[1])  # mesh dimension
    med_mesh.attrs.create("ESP", mesh.points.shape[1])  # spatial dimension
    med_mesh.attrs.create("REP", 0)  # cartesian coordinate system (repère in French)
    med_mesh.attrs.create("UNT", numpy_void_str)  # time unit
    med_mesh.attrs.create("UNI", numpy_void_str)  # spatial unit
    med_mesh.attrs.create("SRT", 1)  # sorting type MED_SORT_ITDT
    # component names:
    names = ["X", "Y", "Z"][: mesh.points.shape[1]]
    med_mesh.attrs.create("NOM", np.string_("".join(f"{name:<16}" for name in names)))
    med_mesh.attrs.create("DES", np.string_("Mesh created with meshio"))
    med_mesh.attrs.create("TYP", 0)  # mesh type (MED_NON_STRUCTURE)

    # Time-step
    step = "-0000000000000000001-0000000000000000001"  # NDT NOR
    time_step = med_mesh.create_group(step)
    time_step.attrs.create("CGT", 1)
    time_step.attrs.create("NDT", -1)  # no time step (-1)
    time_step.attrs.create("NOR", -1)  # no iteration step (-1)
    time_step.attrs.create("PDT", -1.0)  # current time

    # Points
    nodes_group = time_step.create_group("NOE")
    nodes_group.attrs.create("CGT", 1)
    nodes_group.attrs.create("CGS", 1)
    profile = "MED_NO_PROFILE_INTERNAL"
    nodes_group.attrs.create("PFL", np.string_(profile))
    coo = nodes_group.create_dataset("COO", data=mesh.points.flatten(order="F"))
    coo.attrs.create("CGT", 1)
    coo.attrs.create("NBR", len(mesh.points))

    # Point tags
    if "point_tags" in mesh.point_data:  # only works for med -> med
        family = nodes_group.create_dataset("FAM", data=mesh.point_data["point_tags"])
        family.attrs.create("CGT", 1)
        family.attrs.create("NBR", len(mesh.points))

    # Cells (mailles in French)
    if len(mesh.cells) != len(np.unique([c.type for c in mesh.cells])):
        raise WriteError("MED files cannot have two sections of the same cell type.")
    cells_group = time_step.create_group("MAI")
    cells_group.attrs.create("CGT", 1)
    for k, (cell_type, cells) in enumerate(mesh.cells):
        med_type = meshio_to_med_type[cell_type]
        med_cells = cells_group.create_group(med_type)
        med_cells.attrs.create("CGT", 1)
        med_cells.attrs.create("CGS", 1)
        med_cells.attrs.create("PFL", np.string_(profile))
        nod = med_cells.create_dataset("NOD", data=cells.flatten(order="F") + 1)
        nod.attrs.create("CGT", 1)
        nod.attrs.create("NBR", len(cells))

        # Cell tags
        if "cell_tags" in mesh.cell_data:  # works only for med -> med
            family = med_cells.create_dataset(
                "FAM", data=mesh.cell_data["cell_tags"][k]
            )
            family.attrs.create("CGT", 1)
            family.attrs.create("NBR", len(cells))

    # Information about point and cell sets (familles in French)
    fas = f.create_group("FAS")
    families = fas.create_group(mesh_name)
    family_zero = families.create_group("FAMILLE_ZERO")  # must be defined in any case
    family_zero.attrs.create("NUM", 0)

    # For point tags
    try:
        if len(mesh.point_tags) > 0:
            node = families.create_group("NOEUD")
            _write_families(node, mesh.point_tags)
    except AttributeError:
        pass

    # For cell tags
    try:
        if len(mesh.cell_tags) > 0:
            element = families.create_group("ELEME")
            _write_families(element, mesh.cell_tags)
    except AttributeError:
        pass

    # Write nodal/cell data
    fields = f.create_group("CHA")

    name_idx = 0
    field_names = mesh.field_data["med:nom"] if "med:nom" in mesh.field_data else []

    # Nodal data
    for name, data in mesh.point_data.items():
        if name == "point_tags":  # ignore point_tags already written under FAS
            continue
        supp = "NOEU"  # nodal data
        field_name = field_names[name_idx] if field_names else None
        name_idx += 1
        _write_data(fields, mesh_name, field_name, profile, name, supp, data)

    # Cell data
    # Only support writing ELEM fields with only 1 Gauss point per cell
    # Or ELNO (DG) fields defined at every node per cell
    for name, d in mesh.cell_data.items():
        if name == "cell_tags":  # ignore cell_tags already written under FAS
            continue
        for cell, data in zip(mesh.cells, d):
            # Determine the nature of the cell data
            # Either shape = (n_data, ) or (n_data, n_components) -> ELEM
            # or shape = (n_data, n_gauss_points, n_components) -> ELNO or ELGA
            med_type = meshio_to_med_type[cell.type]
            if data.ndim <= 2:
                supp = "ELEM"
            elif data.shape[1] == num_nodes_per_cell[cell.type]:
                supp = "ELNO"
            else:  # general ELGA data defined at unknown Gauss points
                supp = "ELGA"
            field_name = field_names[name_idx] if field_names else None
            _write_data(
                fields,
                mesh_name,
                field_name,
                profile,
                name,
                supp,
                data,
                med_type,
            )
        name_idx += 1


def _write_data(
    fields,
    mesh_name,
    field_name,
    profile,
    name,
    supp,
    data,
    med_type=None,
):
    # Skip for general ELGA fields defined at unknown Gauss points
    if supp == "ELGA":
        return

    # Field
    try:  # a same MED field may contain fields of different natures
        field = fields.create_group(name)
        field.attrs.create("MAI", np.string_(mesh_name))
        field.attrs.create("TYP", 6)  # MED_FLOAT64
        field.attrs.create("UNI", numpy_void_str)  # physical unit
        field.attrs.create("UNT", numpy_void_str)  # time unit
        n_components = 1 if data.ndim == 1 else data.shape[-1]
        field.attrs.create("NCO", n_components)  # number of components
        # names = _create_component_names(n_components)
        # field.attrs.create("NOM", np.string_("".join(f"{name:<16}" for name in names)))

        if field_name:
            field.attrs.create(
                "NOM", np.string_("".join(f"{name:<16}" for name in field_name))
            )
        else:
            field.attrs.create("NOM", np.string_(f"{'':<16}"))

        # Time-step
        step = "0000000000000000000100000000000000000001"
        time_step = field.create_group(step)
        time_step.attrs.create("NDT", 1)  # time step 1
        time_step.attrs.create("NOR", 1)  # iteration step 1
        time_step.attrs.create("PDT", 0.0)  # current time
        time_step.attrs.create("RDT", -1)  # NDT of the mesh
        time_step.attrs.create("ROR", -1)  # NOR of the mesh

    except ValueError:  # name already exists
        field = fields[name]
        ts_name = list(field.keys())[-1]
        time_step = field[ts_name]

    # Field information
    if supp == "NOEU":
        typ = time_step.create_group("NOE")
    elif supp == "ELNO":
        typ = time_step.create_group("NOE." + med_type)
    else:  # 'ELEM' with only 1 Gauss points!
        typ = time_step.create_group("MAI." + med_type)

    typ.attrs.create("GAU", numpy_void_str)  # no associated Gauss points
    typ.attrs.create("PFL", np.string_(profile))
    profile = typ.create_group(profile)
    profile.attrs.create("NBR", len(data))  # number of data
    if supp == "ELNO":
        profile.attrs.create("NGA", data.shape[1])
    else:
        profile.attrs.create("NGA", 1)
    profile.attrs.create("GAU", numpy_void_str)

    # Dataset
    profile.create_dataset("CO", data=data.flatten(order="F"))


def _create_component_names(n_components):
    """To be correctly read in a MED viewer, each component must be a string of width
    16. Since we do not know the physical nature of the data, we just use V1, V2,...
    """
    return [f"V{(i+1)}" for i in range(n_components)]


def _family_name(set_id, name):
    """Return the FAM object name corresponding to the unique set id and a list of
    subset names
    """
    return "FAM" + "_" + str(set_id) + "_" + "_".join(name)


def _write_families(fm_group, tags):
    """Write point/cell tag information under FAS/[mesh_name]"""
    for set_id, name in tags.items():
        family = fm_group.create_group(_family_name(set_id, name))
        family.attrs.create("NUM", set_id)
        group = family.create_group("GRO")
        group.attrs.create("NBR", len(name))  # number of subsets
        dataset = group.create_dataset("NOM", (len(name),), dtype="80int8")
        for i in range(len(name)):
            # make name 80 characters
            name_80 = name[i] + "\x00" * (80 - len(name[i]))
            # Needs numpy array, see <https://github.com/h5py/h5py/issues/1735>
            dataset[i] = np.array([ord(x) for x in name_80])


register("med", [".med"], read, {"med": write})
