# -*- coding: utf-8 -*-
"""Decorators for labeling test objects.

Decorators that merely return a modified version of the original function
object are straightforward.  Decorators that return a new function object need
to use nose.tools.make_decorator(original_function)(decorator) in returning the
decorator, in order to preserve metadata such as function name, setup and
teardown functions and so on - see nose.tools for more information.

This module provides a set of useful decorators meant to be ready to use in
your own tests.  See the bottom of the file for the ready-made ones, and if you
find yourself writing a new one that may be of generic use, add it here.

Included decorators:


Lightweight testing that remains unittest-compatible.

- An @as_unittest decorator can be used to tag any normal parameter-less
  function as a unittest TestCase.  Then, both nose and normal unittest will
  recognize it as such.  This will make it easier to migrate away from Nose if
  we ever need/want to while maintaining very lightweight tests.

NOTE: This file contains IPython-specific decorators. Using the machinery in
IPython.external.decorators, we import either numpy.testing.decorators if numpy is
available, OR use equivalent code in IPython.external._decorators, which
we've copied verbatim from numpy.

"""

# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.

import os
import shutil
import sys
import tempfile
import unittest
import warnings
from importlib import import_module

from decorator import decorator

# Expose the unittest-driven decorators
from .ipunittest import ipdoctest, ipdocstring

#-----------------------------------------------------------------------------
# Classes and functions
#-----------------------------------------------------------------------------

# Simple example of the basic idea
def as_unittest(func):
    """Decorator to make a simple function into a normal test via unittest."""
    class Tester(unittest.TestCase):
        def test(self):
            func()

    Tester.__name__ = func.__name__

    return Tester

# Utility functions


def skipif(skip_condition, msg=None):
    """Make function raise SkipTest exception if skip_condition is true

    Parameters
    ----------

    skip_condition : bool or callable
      Flag to determine whether to skip test. If the condition is a
      callable, it is used at runtime to dynamically make the decision. This
      is useful for tests that may require costly imports, to delay the cost
      until the test suite is actually executed.
    msg : string
      Message to give on raising a SkipTest exception.

    Returns
    -------
    decorator : function
      Decorator, which, when applied to a function, causes SkipTest
      to be raised when the skip_condition was True, and the function
      to be called normally otherwise.
    """
    if msg is None:
        msg = "Test skipped due to test condition."

    import pytest

    assert isinstance(skip_condition, bool)
    return pytest.mark.skipif(skip_condition, reason=msg)


# A version with the condition set to true, common case just to attach a message
# to a skip decorator
def skip(msg=None):
    """Decorator factory - mark a test function for skipping from test suite.

    Parameters
    ----------
      msg : string
        Optional message to be added.

    Returns
    -------
       decorator : function
         Decorator, which, when applied to a function, causes SkipTest
         to be raised, with the optional message added.
      """
    if msg and not isinstance(msg, str):
        raise ValueError('invalid object passed to `@skip` decorator, did you '
                         'meant `@skip()` with brackets ?')
    return skipif(True, msg)


def onlyif(condition, msg):
    """The reverse from skipif, see skipif for details."""

    return skipif(not condition, msg)

#-----------------------------------------------------------------------------
# Utility functions for decorators
def module_not_available(module):
    """Can module be imported?  Returns true if module does NOT import.

    This is used to make a decorator to skip tests that require module to be
    available, but delay the 'import numpy' to test execution time.
    """
    try:
        mod = import_module(module)
        mod_not_avail = False
    except ImportError:
        mod_not_avail = True

    return mod_not_avail


#-----------------------------------------------------------------------------
# Decorators for public use

# Decorators to skip certain tests on specific platforms.
skip_win32 = skipif(sys.platform == 'win32',
                    "This test does not run under Windows")
skip_linux = skipif(sys.platform.startswith('linux'),
                    "This test does not run under Linux")
skip_osx = skipif(sys.platform == 'darwin',"This test does not run under OS X")


# Decorators to skip tests if not on specific platforms.
skip_if_not_win32 = skipif(sys.platform != 'win32',
                           "This test only runs under Windows")
skip_if_not_linux = skipif(not sys.platform.startswith('linux'),
                           "This test only runs under Linux")
skip_if_not_osx = skipif(sys.platform != 'darwin',
                         "This test only runs under OSX")


_x11_skip_cond = (sys.platform not in ('darwin', 'win32') and
                  os.environ.get('DISPLAY', '') == '')
_x11_skip_msg = "Skipped under *nix when X11/XOrg not available"

skip_if_no_x11 = skipif(_x11_skip_cond, _x11_skip_msg)


# Decorators to skip certain tests on specific platform/python combinations
skip_win32_py38 = skipif(sys.version_info > (3,8) and os.name == 'nt')


# Other skip decorators

# generic skip without module
skip_without = lambda mod: skipif(module_not_available(mod), "This test requires %s" % mod)

skipif_not_numpy = skip_without('numpy')

skipif_not_matplotlib = skip_without('matplotlib')

skipif_not_sympy = skip_without('sympy')

# A null 'decorator', useful to make more readable code that needs to pick
# between different decorators based on OS or other conditions
null_deco = lambda f: f

# Some tests only run where we can use unicode paths. Note that we can't just
# check os.path.supports_unicode_filenames, which is always False on Linux.
try:
    f = tempfile.NamedTemporaryFile(prefix=u"tmp€")
except UnicodeEncodeError:
    unicode_paths = False
else:
    unicode_paths = True
    f.close()

onlyif_unicode_paths = onlyif(unicode_paths, ("This test is only applicable "
                                    "where we can use unicode in filenames."))


def onlyif_cmds_exist(*commands):
    """
    Decorator to skip test when at least one of `commands` is not found.
    """
    for cmd in commands:
        reason = f"This test runs only if command '{cmd}' is installed"
        if not shutil.which(cmd):
            if os.environ.get("IPTEST_WORKING_DIR", None) is not None:
                return skip(reason)
            else:
                import pytest

                return pytest.mark.skip(reason=reason)
    return null_deco