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# Copyright (c) 2016-2019 European Synchrotron Radiation Facility
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__authors__ = ["V. Valls"]
__license__ = "MIT"
__date__ = "29/01/2018"

import os
import tempfile
from contextlib import contextmanager

import numpy

from silx.gui.data.NumpyAxesSelector import NumpyAxesSelector
from silx.gui.utils.testutils import SignalListener
from silx.gui.utils.testutils import TestCaseQt

import h5py


class TestNumpyAxesSelector(TestCaseQt):
    def test_creation(self):
        data = numpy.arange(3 * 3 * 3)
        data.shape = 3, 3, 3
        widget = NumpyAxesSelector()
        widget.setVisible(True)

    def test_none(self):
        data = numpy.arange(3 * 3 * 3)
        widget = NumpyAxesSelector()
        widget.setData(data)
        widget.setData(None)
        result = widget.selectedData()
        self.assertIsNone(result)

    def test_output_samedim(self):
        data = numpy.arange(3 * 3 * 3)
        data.shape = 3, 3, 3
        expectedResult = data

        widget = NumpyAxesSelector()
        widget.setAxisNames(["x", "y", "z"])
        widget.setData(data)
        result = widget.selectedData()
        self.assertTrue(numpy.array_equal(result, expectedResult))

    def test_output_moredim(self):
        data = numpy.arange(3 * 3 * 3 * 3)
        data.shape = 3, 3, 3, 3
        expectedResult = data

        widget = NumpyAxesSelector()
        widget.setAxisNames(["x", "y", "z", "boum"])
        widget.setData(data[0])
        result = widget.selectedData()
        self.assertIsNone(result)
        widget.setData(data)
        result = widget.selectedData()
        self.assertTrue(numpy.array_equal(result, expectedResult))

    def test_output_lessdim(self):
        data = numpy.arange(3 * 3 * 3)
        data.shape = 3, 3, 3
        expectedResult = data[0]

        widget = NumpyAxesSelector()
        widget.setAxisNames(["y", "x"])
        widget.setData(data)
        result = widget.selectedData()
        self.assertTrue(numpy.array_equal(result, expectedResult))

    def test_output_1dim(self):
        data = numpy.arange(3 * 3 * 3)
        data.shape = 3, 3, 3
        expectedResult = data[0, 0, 0]

        widget = NumpyAxesSelector()
        widget.setData(data)
        result = widget.selectedData()
        self.assertTrue(numpy.array_equal(result, expectedResult))

    @contextmanager
    def h5_temporary_file(self):
        # create tmp file
        fd, tmp_name = tempfile.mkstemp(suffix=".h5")
        os.close(fd)
        data = numpy.arange(3 * 3 * 3)
        data.shape = 3, 3, 3
        # create h5 data
        h5file = h5py.File(tmp_name, "w")
        h5file["data"] = data
        yield h5file
        # clean up
        h5file.close()
        os.unlink(tmp_name)

    def test_h5py_dataset(self):
        with self.h5_temporary_file() as h5file:
            dataset = h5file["data"]
            expectedResult = dataset[0]

            widget = NumpyAxesSelector()
            widget.setData(dataset)
            widget.setAxisNames(["y", "x"])
            result = widget.selectedData()
            self.assertTrue(numpy.array_equal(result, expectedResult))

    def test_data_event(self):
        data = numpy.arange(3 * 3 * 3)
        widget = NumpyAxesSelector()
        listener = SignalListener()
        widget.dataChanged.connect(listener)
        widget.setData(data)
        widget.setData(None)
        self.assertEqual(listener.callCount(), 2)

    def test_selected_data_event(self):
        data = numpy.arange(3 * 3 * 3)
        data.shape = 3, 3, 3
        widget = NumpyAxesSelector()
        listener = SignalListener()
        widget.selectionChanged.connect(listener)
        widget.setData(data)
        widget.setAxisNames(["x"])
        widget.setData(None)
        self.assertEqual(listener.callCount(), 3)
        listener.clear()
