from abc import ABC
from itertools import product

import numpy as np
from ome_types import model

from .. import AbstractReader


class Reader(AbstractReader, ABC):
    priority = 20

    @staticmethod
    def _can_open(path):
        return isinstance(path, np.ndarray) and 1 <= path.ndim <= 5

    def get_ome(self):
        def shape(size_x=1, size_y=1, size_c=1, size_z=1, size_t=1):  # noqa
            return size_x, size_y, size_c, size_z, size_t

        size_x, size_y, size_c, size_z, size_t = shape(*self.array.shape)
        try:
            pixel_type = model.PixelType(self.array.dtype.name)
        except ValueError:
            if self.array.dtype.name.startswith("int"):
                pixel_type = model.PixelType("int32")
            else:
                pixel_type = model.PixelType("float")

        ome = model.OME()
        ome.instruments.append(model.Instrument())
        ome.images.append(
            model.Image(
                pixels=model.Pixels(
                    size_c=size_c,
                    size_z=size_z,
                    size_t=size_t,
                    size_x=size_x,
                    size_y=size_y,
                    dimension_order="XYCZT",
                    type=pixel_type,
                ),
                objective_settings=model.ObjectiveSettings(id="Objective:0"),
            )
        )
        for c, z, t in product(range(size_c), range(size_z), range(size_t)):
            ome.images[0].pixels.planes.append(model.Plane(the_c=c, the_z=z, the_t=t, delta_t=0))
        return ome

    def open(self):
        if isinstance(self.path, np.ndarray):
            self.array = np.array(self.path)
            while self.array.ndim < 5:
                self.array = np.expand_dims(self.array, -1)  # noqa
            self.path = "numpy array"

    def __frame__(self, c, z, t):
        frame = self.array[:, :, c, z, t]
        if self.axes.find("y") > self.axes.find("x"):
            return frame.T
        else:
            return frame