# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This module provides the tools used to internally run the astropy test suite
from the installed astropy.  It makes use of the `pytest`_ testing framework.
"""
import functools
import inspect
import os
import pickle
import sys
import warnings

import pytest

from astropy.units import allclose as quantity_allclose  # noqa: F401
from astropy.utils.compat import PYTHON_LT_3_11
from astropy.utils.decorators import deprecated
from astropy.utils.exceptions import (
    AstropyDeprecationWarning,
    AstropyPendingDeprecationWarning,
)

# For backward-compatibility with affiliated packages
from .runner import TestRunner  # noqa: F401

__all__ = [
    "assert_follows_unicode_guidelines",
    "assert_quantity_allclose",
    "check_pickling_recovery",
    "pickle_protocol",
    "generic_recursive_equality_test",
]


def _save_coverage(cov, result, rootdir, testing_path):
    """
    This method is called after the tests have been run in coverage mode
    to cleanup and then save the coverage data and report.
    """
    from astropy.utils.console import color_print

    if result != 0:
        return

    # The coverage report includes the full path to the temporary
    # directory, so we replace all the paths with the true source
    # path. Note that this will not work properly for packages that still
    # rely on 2to3.
    try:
        # Coverage 4.0: _harvest_data has been renamed to get_data, the
        # lines dict is private
        cov.get_data()
    except AttributeError:
        # Coverage < 4.0
        cov._harvest_data()
        lines = cov.data.lines
    else:
        lines = cov.data._lines

    for key in list(lines.keys()):
        new_path = os.path.relpath(
            os.path.realpath(key), os.path.realpath(testing_path)
        )
        new_path = os.path.abspath(os.path.join(rootdir, new_path))
        lines[new_path] = lines.pop(key)

    color_print("Saving coverage data in .coverage...", "green")
    cov.save()

    color_print("Saving HTML coverage report in htmlcov...", "green")
    cov.html_report(directory=os.path.join(rootdir, "htmlcov"))


@deprecated("5.1", alternative="pytest.raises")
class raises:
    """A decorator to mark that a test should raise a given exception.

    Use as follows::

        @raises(ZeroDivisionError)
        def test_foo():
            x = 1/0

    This can also be used a context manager, in which case it is just
    an alias for the ``pytest.raises`` context manager (because the
    two have the same name this help avoid confusion by being
    flexible).

    .. note:: Usage of ``pytest.raises`` is preferred.

    """

    # pep-8 naming exception -- this is a decorator class
    def __init__(self, exc):
        self._exc = exc
        self._ctx = None

    def __call__(self, func):
        @functools.wraps(func)
        def run_raises_test(*args, **kwargs):
            pytest.raises(self._exc, func, *args, **kwargs)

        return run_raises_test

    def __enter__(self):
        self._ctx = pytest.raises(self._exc)
        return self._ctx.__enter__()

    def __exit__(self, *exc_info):
        return self._ctx.__exit__(*exc_info)


# TODO: Remove these when deprecation period of things deprecated in PR 12633 are removed.
_deprecations_as_exceptions = False
_include_astropy_deprecations = True
_modules_to_ignore_on_import = {
    r"compiler",  # A deprecated stdlib module used by pytest
    r"scipy",
    r"pygments",
    r"ipykernel",
    r"IPython",  # deprecation warnings for async and await
    r"setuptools",
}
_warnings_to_ignore_entire_module = set()
_warnings_to_ignore_by_pyver = {
    None: {  # Python version agnostic
        # https://github.com/astropy/astropy/pull/7372
        (
            r"Importing from numpy\.testing\.decorators is deprecated, "
            r"import from numpy\.testing instead\.",
            DeprecationWarning,
        ),
        # inspect raises this slightly different warning on Python 3.7.
        # Keeping it since e.g. lxml as of 3.8.0 is still calling getargspec()
        (
            r"inspect\.getargspec\(\) is deprecated, use "
            r"inspect\.signature\(\) or inspect\.getfullargspec\(\)",
            DeprecationWarning,
        ),
        # https://github.com/astropy/pytest-doctestplus/issues/29
        (r"split\(\) requires a non-empty pattern match", FutureWarning),
        # Package resolution warning that we can do nothing about
        (
            r"can't resolve package from __spec__ or __package__, "
            r"falling back on __name__ and __path__",
            ImportWarning,
        ),
    },
    (3, 7): {
        # Deprecation warning for collections.abc, fixed in Astropy but still
        # used in lxml, and maybe others
        (r"Using or importing the ABCs from 'collections'", DeprecationWarning)
    },
}


@deprecated("5.1", alternative="https://docs.pytest.org/en/stable/warnings.html")
def enable_deprecations_as_exceptions(
    include_astropy_deprecations=True,
    modules_to_ignore_on_import=[],
    warnings_to_ignore_entire_module=[],
    warnings_to_ignore_by_pyver={},
):
    """
    Turn on the feature that turns deprecations into exceptions.

    Parameters
    ----------
    include_astropy_deprecations : bool
        If set to `True`, ``AstropyDeprecationWarning`` and
        ``AstropyPendingDeprecationWarning`` are also turned into exceptions.

    modules_to_ignore_on_import : list of str
        List of additional modules that generate deprecation warnings
        on import, which are to be ignored. By default, these are already
        included: ``compiler``, ``scipy``, ``pygments``, ``ipykernel``, and
        ``setuptools``.

    warnings_to_ignore_entire_module : list of str
        List of modules with deprecation warnings to ignore completely,
        not just during import. If ``include_astropy_deprecations=True``
        is given, ``AstropyDeprecationWarning`` and
        ``AstropyPendingDeprecationWarning`` are also ignored for the modules.

    warnings_to_ignore_by_pyver : dict
        Dictionary mapping tuple of ``(major, minor)`` Python version to
        a list of ``(warning_message, warning_class)`` to ignore.
        Python version-agnostic warnings should be mapped to `None` key.
        This is in addition of those already ignored by default
        (see ``_warnings_to_ignore_by_pyver`` values).

    """
    global _deprecations_as_exceptions
    _deprecations_as_exceptions = True

    global _include_astropy_deprecations
    _include_astropy_deprecations = include_astropy_deprecations

    global _modules_to_ignore_on_import
    _modules_to_ignore_on_import.update(modules_to_ignore_on_import)

    global _warnings_to_ignore_entire_module
    _warnings_to_ignore_entire_module.update(warnings_to_ignore_entire_module)

    global _warnings_to_ignore_by_pyver
    for key, val in warnings_to_ignore_by_pyver.items():
        if key in _warnings_to_ignore_by_pyver:
            _warnings_to_ignore_by_pyver[key].update(val)
        else:
            _warnings_to_ignore_by_pyver[key] = set(val)


@deprecated("5.1", alternative="https://docs.pytest.org/en/stable/warnings.html")
def treat_deprecations_as_exceptions():
    """
    Turn all DeprecationWarnings (which indicate deprecated uses of
    Python itself or Numpy, but not within Astropy, where we use our
    own deprecation warning class) into exceptions so that we find
    out about them early.

    This completely resets the warning filters and any "already seen"
    warning state.
    """
    # First, totally reset the warning state. The modules may change during
    # this iteration thus we copy the original state to a list to iterate
    # on. See https://github.com/astropy/astropy/pull/5513.
    for module in list(sys.modules.values()):
        try:
            del module.__warningregistry__
        except Exception:
            pass

    if not _deprecations_as_exceptions:
        return

    warnings.resetwarnings()

    # Hide the next couple of DeprecationWarnings
    warnings.simplefilter("ignore", DeprecationWarning)
    # Here's the wrinkle: a couple of our third-party dependencies
    # (pytest and scipy) are still using deprecated features
    # themselves, and we'd like to ignore those.  Fortunately, those
    # show up only at import time, so if we import those things *now*,
    # before we turn the warnings into exceptions, we're golden.
    for m in _modules_to_ignore_on_import:
        try:
            __import__(m)
        except ImportError:
            pass

    # Now, start over again with the warning filters
    warnings.resetwarnings()
    # Now, turn these warnings into exceptions
    _all_warns = [DeprecationWarning, FutureWarning, ImportWarning]

    # Only turn astropy deprecation warnings into exceptions if requested
    if _include_astropy_deprecations:
        _all_warns += [AstropyDeprecationWarning, AstropyPendingDeprecationWarning]

    for w in _all_warns:
        warnings.filterwarnings("error", ".*", w)

    # This ignores all specified warnings from given module(s),
    # not just on import, for use of Astropy affiliated packages.
    for m in _warnings_to_ignore_entire_module:
        for w in _all_warns:
            warnings.filterwarnings("ignore", category=w, module=m)

    # This ignores only specified warnings by Python version, if applicable.
    for v in _warnings_to_ignore_by_pyver:
        if v is None or sys.version_info[:2] == v:
            for s in _warnings_to_ignore_by_pyver[v]:
                warnings.filterwarnings("ignore", s[0], s[1])


@deprecated("5.1", alternative="pytest.warns")
class catch_warnings(warnings.catch_warnings):
    """
    A high-powered version of warnings.catch_warnings to use for testing
    and to make sure that there is no dependence on the order in which
    the tests are run.

    This completely blitzes any memory of any warnings that have
    appeared before so that all warnings will be caught and displayed.

    ``*args`` is a set of warning classes to collect.  If no arguments are
    provided, all warnings are collected.

    Use as follows::

        with catch_warnings(MyCustomWarning) as w:
            do.something.bad()
        assert len(w) > 0

    .. note:: Usage of :ref:`pytest.warns <pytest:warns>` is preferred.

    """

    def __init__(self, *classes):
        super().__init__(record=True)
        self.classes = classes

    def __enter__(self):
        warning_list = super().__enter__()
        treat_deprecations_as_exceptions()
        if len(self.classes) == 0:
            warnings.simplefilter("always")
        else:
            warnings.simplefilter("ignore")
            for cls in self.classes:
                warnings.simplefilter("always", cls)
        return warning_list

    def __exit__(self, type, value, traceback):
        treat_deprecations_as_exceptions()


@deprecated("5.1", alternative="pytest.mark.filterwarnings")
class ignore_warnings(catch_warnings):
    """
    This can be used either as a context manager or function decorator to
    ignore all warnings that occur within a function or block of code.

    An optional category option can be supplied to only ignore warnings of a
    certain category or categories (if a list is provided).
    """

    def __init__(self, category=None):
        super().__init__()

        if isinstance(category, type) and issubclass(category, Warning):
            self.category = [category]
        else:
            self.category = category

    def __call__(self, func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            # Originally this just reused self, but that doesn't work if the
            # function is called more than once so we need to make a new
            # context manager instance for each call
            with self.__class__(category=self.category):
                return func(*args, **kwargs)

        return wrapper

    def __enter__(self):
        retval = super().__enter__()
        if self.category is not None:
            for category in self.category:
                warnings.simplefilter("ignore", category)
        else:
            warnings.simplefilter("ignore")
        return retval


def assert_follows_unicode_guidelines(x, roundtrip=None):
    """
    Test that an object follows our Unicode policy.  See
    "Unicode guidelines" in the coding guidelines.

    Parameters
    ----------
    x : object
        The instance to test

    roundtrip : module, optional
        When provided, this namespace will be used to evaluate
        ``repr(x)`` and ensure that it roundtrips.  It will also
        ensure that ``__bytes__(x)`` roundtrip.
        If not provided, no roundtrip testing will be performed.
    """
    from astropy import conf

    with conf.set_temp("unicode_output", False):
        bytes_x = bytes(x)
        unicode_x = str(x)
        repr_x = repr(x)

        assert isinstance(bytes_x, bytes)
        bytes_x.decode("ascii")
        assert isinstance(unicode_x, str)
        unicode_x.encode("ascii")
        assert isinstance(repr_x, str)
        if isinstance(repr_x, bytes):
            repr_x.decode("ascii")
        else:
            repr_x.encode("ascii")

        if roundtrip is not None:
            assert x.__class__(bytes_x) == x
            assert x.__class__(unicode_x) == x
            assert eval(repr_x, roundtrip) == x

    with conf.set_temp("unicode_output", True):
        bytes_x = bytes(x)
        unicode_x = str(x)
        repr_x = repr(x)

        assert isinstance(bytes_x, bytes)
        bytes_x.decode("ascii")
        assert isinstance(unicode_x, str)
        assert isinstance(repr_x, str)
        if isinstance(repr_x, bytes):
            repr_x.decode("ascii")
        else:
            repr_x.encode("ascii")

        if roundtrip is not None:
            assert x.__class__(bytes_x) == x
            assert x.__class__(unicode_x) == x
            assert eval(repr_x, roundtrip) == x


@pytest.fixture(params=[0, 1, -1])
def pickle_protocol(request):
    """
    Fixture to run all the tests for protocols 0 and 1, and -1 (most advanced).
    (Originally from astropy.table.tests.test_pickle).
    """
    return request.param


def generic_recursive_equality_test(a, b, class_history):
    """
    Check if the attributes of a and b are equal. Then,
    check if the attributes of the attributes are equal.
    """
    if PYTHON_LT_3_11:
        dict_a = a.__getstate__() if hasattr(a, "__getstate__") else a.__dict__
    else:
        # NOTE: The call may need to be adapted if other objects implementing a __getstate__
        # with required argument(s) are passed to this function.
        # For a class with `__slots__` the default state is not a `dict`;
        # with neither `__dict__` nor `__slots__` it is `None`.
        state = a.__getstate__(a) if inspect.isclass(a) else a.__getstate__()
        dict_a = state if isinstance(state, dict) else getattr(a, "__dict__", dict())
    dict_b = b.__dict__
    for key in dict_a:
        assert key in dict_b, f"Did not pickle {key}"

        if dict_a[key].__class__.__eq__ is not object.__eq__:
            # Only compare if the class defines a proper equality test.
            # E.g., info does not define __eq__, and hence defers to
            # object.__eq__, which is equivalent to checking that two
            # instances are the same.  This will generally not be true
            # after pickling.
            eq = dict_a[key] == dict_b[key]
            if "__iter__" in dir(eq):
                eq = False not in eq
            assert eq, f"Value of {key} changed by pickling"

        if hasattr(dict_a[key], "__dict__"):
            if dict_a[key].__class__ in class_history:
                # attempt to prevent infinite recursion
                pass
            else:
                new_class_history = [dict_a[key].__class__]
                new_class_history.extend(class_history)
                generic_recursive_equality_test(
                    dict_a[key], dict_b[key], new_class_history
                )


def check_pickling_recovery(original, protocol):
    """
    Try to pickle an object. If successful, make sure
    the object's attributes survived pickling and unpickling.
    """
    f = pickle.dumps(original, protocol=protocol)
    unpickled = pickle.loads(f)
    class_history = [original.__class__]
    generic_recursive_equality_test(original, unpickled, class_history)


def assert_quantity_allclose(actual, desired, rtol=1.0e-7, atol=None, **kwargs):
    """
    Raise an assertion if two objects are not equal up to desired tolerance.

    This is a :class:`~astropy.units.Quantity`-aware version of
    :func:`numpy.testing.assert_allclose`.
    """
    import numpy as np

    from astropy.units.quantity import _unquantify_allclose_arguments

    np.testing.assert_allclose(
        *_unquantify_allclose_arguments(actual, desired, rtol, atol), **kwargs
    )
