# Licensed under a 3-clause BSD style license - see LICENSE.rst

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import inspect

import pytest
import numpy as np

from ...extern import six
from ...tests.helper import catch_warnings
from ...utils.exceptions import AstropyUserWarning
from ... import units as u

from ..nddata import NDData
from ..decorators import support_nddata


class CCDData(NDData):
    pass


@support_nddata
def wrapped_function_1(data, wcs=None, unit=None):
    return data, wcs, unit


def test_pass_numpy():

    data_in = np.array([1, 2, 3])
    data_out, wcs_out, unit_out = wrapped_function_1(data=data_in)

    assert data_out is data_in
    assert wcs_out is None
    assert unit_out is None


def test_pass_all_separate():

    data_in = np.array([1, 2, 3])
    wcs_in = "the wcs"
    unit_in = u.Jy

    data_out, wcs_out, unit_out = wrapped_function_1(data=data_in, wcs=wcs_in, unit=unit_in)

    assert data_out is data_in
    assert wcs_out is wcs_in
    assert unit_out is unit_in


def test_pass_nddata():

    data_in = np.array([1, 2, 3])
    wcs_in = "the wcs"
    unit_in = u.Jy

    nddata_in = NDData(data_in, wcs=wcs_in, unit=unit_in)

    data_out, wcs_out, unit_out = wrapped_function_1(nddata_in)

    assert data_out is data_in
    assert wcs_out is wcs_in
    assert unit_out is unit_in


def test_pass_nddata_and_explicit():

    data_in = np.array([1, 2, 3])
    wcs_in = "the wcs"
    unit_in = u.Jy
    unit_in_alt = u.mJy

    nddata_in = NDData(data_in, wcs=wcs_in, unit=unit_in)

    with catch_warnings() as w:
        data_out, wcs_out, unit_out = wrapped_function_1(nddata_in, unit=unit_in_alt)

    assert data_out is data_in
    assert wcs_out is wcs_in
    assert unit_out is unit_in_alt

    assert len(w) == 1
    assert str(w[0].message) == ("Property unit has been passed explicitly and as "
                                 "an NDData property, using explicitly specified value")


def test_pass_nddata_ignored():

    data_in = np.array([1, 2, 3])
    wcs_in = "the wcs"
    unit_in = u.Jy

    nddata_in = NDData(data_in, wcs=wcs_in, unit=unit_in, mask=[0, 1, 0])

    with catch_warnings() as w:
        data_out, wcs_out, unit_out = wrapped_function_1(nddata_in)

    assert data_out is data_in
    assert wcs_out is wcs_in
    assert unit_out is unit_in

    assert len(w) == 1
    assert str(w[0].message) == ("The following attributes were set on the data "
                                 "object, but will be ignored by the function: mask")


def test_incorrect_first_argument():

    with pytest.raises(ValueError) as exc:
        @support_nddata
        def wrapped_function_2(something, wcs=None, unit=None):
            pass
    assert exc.value.args[0] == "Can only wrap functions whose first positional argument is `data`"

    with pytest.raises(ValueError) as exc:
        @support_nddata
        def wrapped_function_3(something, data, wcs=None, unit=None):
            pass
    assert exc.value.args[0] == "Can only wrap functions whose first positional argument is `data`"

    with pytest.raises(ValueError) as exc:
        @support_nddata
        def wrapped_function_4(wcs=None, unit=None):
            pass
    assert exc.value.args[0] == "Can only wrap functions whose first positional argument is `data`"


def test_wrap_function_no_kwargs():

    @support_nddata
    def wrapped_function_5(data, other_data):
        return data

    data_in = np.array([1, 2, 3])
    nddata_in = NDData(data_in)

    assert wrapped_function_5(nddata_in, [1, 2, 3]) is data_in


def test_wrap_function_repack_valid():

    @support_nddata(repack=True, returns=['data'])
    def wrapped_function_5(data, other_data):
        return data

    data_in = np.array([1, 2, 3])
    nddata_in = NDData(data_in)

    nddata_out = wrapped_function_5(nddata_in, [1, 2, 3])

    assert isinstance(nddata_out, NDData)
    assert nddata_out.data is data_in


def test_wrap_function_accepts():

    class MyData(NDData):
        pass

    @support_nddata(accepts=MyData)
    def wrapped_function_5(data, other_data):
        return data

    data_in = np.array([1, 2, 3])
    nddata_in = NDData(data_in)
    mydata_in = MyData(data_in)

    assert wrapped_function_5(mydata_in, [1, 2, 3]) is data_in

    with pytest.raises(TypeError) as exc:
        wrapped_function_5(nddata_in, [1, 2, 3])
    assert exc.value.args[0] == "Only NDData sub-classes that inherit from MyData can be used by this function"


def test_wrap_preserve_signature_docstring():

    @support_nddata
    def wrapped_function_6(data, wcs=None, unit=None):
        """
        An awesome function
        """
        pass

    if wrapped_function_6.__doc__ is not None:
        assert wrapped_function_6.__doc__.strip() == "An awesome function"

    if six.PY2:
        signature = inspect.formatargspec(
            *inspect.getargspec(wrapped_function_6))
    else:
        signature = inspect.formatargspec(
            *inspect.getfullargspec(wrapped_function_6))

    assert signature == "(data, wcs=None, unit=None)"


def test_setup_failures1():
    # repack but no returns
    with pytest.raises(ValueError):
        support_nddata(repack=True)


def test_setup_failures2():
    # returns but no repack
    with pytest.raises(ValueError):
        support_nddata(returns=['data'])


def test_setup_failures9():
    # keeps but no repack
    with pytest.raises(ValueError):
        support_nddata(keeps=['unit'])


def test_setup_failures3():
    # same attribute in keeps and returns
    with pytest.raises(ValueError):
        support_nddata(repack=True, keeps=['mask'], returns=['data', 'mask'])


def test_setup_failures4():
    # function accepts *args
    with pytest.raises(ValueError):
        @support_nddata
        def test(data, *args):
            pass


def test_setup_failures10():
    # function accepts **kwargs
    with pytest.raises(ValueError):
        @support_nddata
        def test(data, **kwargs):
            pass


def test_setup_failures5():
    # function accepts *args (or **kwargs)
    with pytest.raises(ValueError):
        @support_nddata
        def test(data, *args):
            pass


def test_setup_failures6():
    # First argument is not data
    with pytest.raises(ValueError):
        @support_nddata
        def test(img):
            pass


def test_setup_failures7():
    # accepts CCDData but was given just an NDData
    with pytest.raises(TypeError):
        @support_nddata(accepts=CCDData)
        def test(data):
            pass
        test(NDData(np.ones((3, 3))))


def test_setup_failures8():
    # function returns a different amount of arguments than specified. Using
    # NDData here so we don't get into troubles when creating a CCDData without
    # unit!
    with pytest.raises(ValueError):
        @support_nddata(repack=True, returns=['data', 'mask'])
        def test(data):
            return 10
        test(NDData(np.ones((3, 3))))  # do NOT use CCDData here.


def test_setup_failures11():
    # function accepts no arguments
    with pytest.raises(ValueError):
        @support_nddata
        def test():
            pass


def test_setup_numpyarray_default():
    # It should be possible (even if it's not advisable to use mutable
    # defaults) to have a numpy array as default value.
    @support_nddata
    def func(data, wcs=np.array([1, 2, 3])):
        return wcs


def test_still_accepts_other_input():
    @support_nddata(repack=True, returns=['data'])
    def test(data):
        return data
    assert isinstance(test(NDData(np.ones((3, 3)))), NDData)
    assert isinstance(test(10), int)
    assert isinstance(test([1, 2, 3]), list)


def test_accepting_property_normal():
    # Accepts a mask attribute and takes it from the input
    @support_nddata
    def test(data, mask=None):
        return mask

    ndd = NDData(np.ones((3, 3)))
    assert test(ndd) is None
    ndd._mask = np.zeros((3, 3))
    assert np.all(test(ndd) == 0)
    # Use the explicitly given one (raises a Warning)
    with catch_warnings(AstropyUserWarning) as w:
        assert test(ndd, mask=10) == 10
        assert len(w) == 1


def test_parameter_default_identical_to_explicit_passed_argument():
    # If the default is identical to the explicitly passed argument this
    # should still raise a Warning and use the explicit one.
    @support_nddata
    def func(data, wcs=[1, 2, 3]):
        return wcs

    with catch_warnings(AstropyUserWarning) as w:
        assert func(NDData(1, wcs=[1, 2]), [1, 2, 3]) == [1, 2, 3]
        assert len(w) == 1

    with catch_warnings(AstropyUserWarning) as w:
        assert func(NDData(1, wcs=[1, 2])) == [1, 2]
        assert len(w) == 0


def test_accepting_property_notexist():
    # Accepts flags attribute but NDData doesn't have one
    @support_nddata
    def test(data, flags=10):
        return flags

    ndd = NDData(np.ones((3, 3)))
    test(ndd)


def test_accepting_property_translated():
    # Accepts a error attribute and we want to pass in uncertainty!
    @support_nddata(mask='masked')
    def test(data, masked=None):
        return masked

    ndd = NDData(np.ones((3, 3)))
    assert test(ndd) is None
    ndd._mask = np.zeros((3, 3))
    assert np.all(test(ndd) == 0)
    # Use the explicitly given one (raises a Warning)
    with catch_warnings(AstropyUserWarning) as w:
        assert test(ndd, masked=10) == 10
        assert len(w) == 1


def test_accepting_property_meta_empty():
    # Meta is always set (OrderedDict) so it has a special case that it's
    # ignored if it's empty but not None
    @support_nddata
    def test(data, meta=None):
        return meta

    ndd = NDData(np.ones((3, 3)))
    assert test(ndd) is None
    ndd._meta = {'a': 10}
    assert test(ndd) == {'a': 10}
