# coding: utf-8
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"""Utilities for writing tests.

- :class:`ParametricTestCase` provides a :meth:`TestCase.subTest` replacement
  for Python < 3.4
- :class:`LoggingValidator` with context or the :func:`validate_logging`
  decorator enables testing the number of logging messages of different levels.
"""

__authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "04/11/2021"


import contextlib
import functools
import logging
import sys
import unittest


_logger = logging.getLogger(__name__)


if sys.hexversion >= 0x030400F0:  # Python >= 3.4
    class ParametricTestCase(unittest.TestCase):
        pass
else:
    class ParametricTestCase(unittest.TestCase):
        """TestCase with subTest support for Python < 3.4.

        Add subTest method to support parametric tests.
        API is the same, but behavior differs:
        If a subTest fails, the following ones are not run.
        """

        _subtest_msg = None  # Class attribute to provide a default value

        @contextlib.contextmanager
        def subTest(self, msg=None, **params):
            """Use as unittest.TestCase.subTest method in Python >= 3.4."""
            # Format arguments as: '[msg] (key=value, ...)'
            param_str = ', '.join(['%s=%s' % (k, v) for k, v in params.items()])
            self._subtest_msg = '[%s] (%s)' % (msg or '', param_str)
            yield
            self._subtest_msg = None

        def shortDescription(self):
            short_desc = super(ParametricTestCase, self).shortDescription()
            if self._subtest_msg is not None:
                # Append subTest message to shortDescription
                short_desc = ' '.join(
                    [msg for msg in (short_desc, self._subtest_msg) if msg])

            return short_desc if short_desc else None


def parameterize(test_case_class, *args, **kwargs):
    """Create a suite containing all tests taken from the given
    subclass, passing them the parameters.

    .. code-block:: python

        class TestParameterizedCase(unittest.TestCase):
            def __init__(self, methodName='runTest', foo=None):
                unittest.TestCase.__init__(self, methodName)
                self.foo = foo

        def suite():
            testSuite = unittest.TestSuite()
            testSuite.addTest(parameterize(TestParameterizedCase, foo=10))
            testSuite.addTest(parameterize(TestParameterizedCase, foo=50))
            return testSuite
    """
    test_loader = unittest.TestLoader()
    test_names = test_loader.getTestCaseNames(test_case_class)
    suite = unittest.TestSuite()
    for name in test_names:
        suite.addTest(test_case_class(name, *args, **kwargs))
    return suite


class LoggingRuntimeError(RuntimeError):
    """Raised when the `LoggingValidator` fails"""

    def __init__(self, msg, records):
        super(LoggingRuntimeError, self).__init__(msg)
        self.records = records

    def __str__(self):
        return super(LoggingRuntimeError, self).__str__() + " -> " + str(self.records)


class LoggingValidator(logging.Handler):
    """Context checking the number of logging messages from a specified Logger.

    It disables propagation of logging message while running.

    This is meant to be used as a with statement, for example:

    >>> with LoggingValidator(logger, error=2, warning=0):
    >>>     pass  # Run tests here expecting 2 ERROR and no WARNING from logger
    ...

    :param logger: Name or instance of the logger to test.
                   (Default: root logger)
    :type logger: str or :class:`logging.Logger`
    :param int critical: Expected number of CRITICAL messages.
                         Default: Do not check.
    :param int error: Expected number of ERROR messages.
                      Default: Do not check.
    :param int warning: Expected number of WARNING messages.
                        Default: Do not check.
    :param int info: Expected number of INFO messages.
                     Default: Do not check.
    :param int debug: Expected number of DEBUG messages.
                      Default: Do not check.
    :param int notset: Expected number of NOTSET messages.
                       Default: Do not check.
    :raises RuntimeError: If the message counts are the expected ones.
    """

    def __init__(self, logger=None, critical=None, error=None,
                 warning=None, info=None, debug=None, notset=None):
        if logger is None:
            logger = logging.getLogger()
        elif not isinstance(logger, logging.Logger):
            logger = logging.getLogger(logger)
        self.logger = logger

        self.records = []

        self.expected_count_by_level = {
            logging.CRITICAL: critical,
            logging.ERROR: error,
            logging.WARNING: warning,
            logging.INFO: info,
            logging.DEBUG: debug,
            logging.NOTSET: notset
        }

        self._expected_count = sum([v for k, v in self.expected_count_by_level.items() if v is not None])
        """Amount of any logging expected"""

        super(LoggingValidator, self).__init__()

    def __enter__(self):
        """Context (i.e., with) support"""
        self.records = []  # Reset recorded LogRecords
        self.logger.addHandler(self)
        self.logger.propagate = False
        # ensure no log message is ignored
        self.entry_level = self.logger.level * 1
        self.logger.setLevel(logging.DEBUG)
        self.entry_disabled = self.logger.disabled
        self.logger.disabled = False
        return self

    def can_be_checked(self):
        """Returns True if this listener have received enough messages to
        be valid, and then checked.

        This can be useful for asynchronous wait of messages. It allows process
        an early break, instead of waiting much time in an active loop.
        """
        return len(self.records) >= self._expected_count

    def get_count_by_level(self):
        """Returns the current message count by level.
        """
        count = {
            logging.CRITICAL: 0,
            logging.ERROR: 0,
            logging.WARNING: 0,
            logging.INFO: 0,
            logging.DEBUG: 0,
            logging.NOTSET: 0
        }
        for record in self.records:
            level = record.levelno
            if level in count:
                count[level] = count[level] + 1
        return count

    def __exit__(self, exc_type, exc_value, traceback):
        """Context (i.e., with) support"""
        self.logger.removeHandler(self)
        self.logger.propagate = True
        self.logger.setLevel(self.entry_level)
        self.logger.disabled = self.entry_disabled

        count_by_level = self.get_count_by_level()

        # Remove keys which does not matter
        ignored = [r for r, v in self.expected_count_by_level.items() if v is None]
        expected_count_by_level = dict(self.expected_count_by_level)
        for i in ignored:
            del count_by_level[i]
            del expected_count_by_level[i]

        if count_by_level != expected_count_by_level:
            # Re-send record logs through logger as they where masked
            # to help debug
            message = ""
            for level in count_by_level.keys():
                if message != "":
                    message += ", "
                count = count_by_level[level]
                expected_count = expected_count_by_level[level]
                message += "%d %s (got %d)" % (expected_count, logging.getLevelName(level), count)

            raise LoggingRuntimeError(
                'Expected %s' % message, records=list(self.records))

    def emit(self, record):
        """Override :meth:`logging.Handler.emit`"""
        self.records.append(record)


def validate_logging(logger=None, critical=None, error=None,
                     warning=None, info=None, debug=None, notset=None):
    """Decorator checking number of logging messages.

    Propagation of logging messages is disabled by this decorator.

    In case the expected number of logging messages is not found, it raises
    a RuntimeError.

    >>> class Test(unittest.TestCase):
    ...     @validate_logging('module_logger_name', error=2, warning=0)
    ...     def test(self):
    ...         pass  # Test expecting 2 ERROR and 0 WARNING messages

    :param logger: Name or instance of the logger to test.
                   (Default: root logger)
    :type logger: str or :class:`logging.Logger`
    :param int critical: Expected number of CRITICAL messages.
                         Default: Do not check.
    :param int error: Expected number of ERROR messages.
                      Default: Do not check.
    :param int warning: Expected number of WARNING messages.
                        Default: Do not check.
    :param int info: Expected number of INFO messages.
                     Default: Do not check.
    :param int debug: Expected number of DEBUG messages.
                      Default: Do not check.
    :param int notset: Expected number of NOTSET messages.
                       Default: Do not check.
    """
    def decorator(func):
        test_context = LoggingValidator(
            logger, critical, error, warning, info, debug, notset)

        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            with test_context:
                result = func(*args, **kwargs)
            return result
        return wrapper
    return decorator


# Simulate missing library context
class EnsureImportError(object):
    """This context manager allows to simulate the unavailability
    of a library, even if it is actually available. It ensures that
    an ImportError is raised if the code inside the context tries to
    import the module.

    It can be used to test that a correct fallback library is used,
    or that the expected error code is returned.

    Trivial example::

        from silx.utils.testutils import EnsureImportError

        with EnsureImportError("h5py"):
            try:
                import h5py
            except ImportError:
                print("Good")

    .. note::

        This context manager does not remove the library from the namespace,
        if it is already imported. It only ensures that any attempt to import
        it again will cause an ImportError to be raised.
    """
    def __init__(self, name):
        """

        :param str name: Name of module to be hidden (e.g. "h5py")
        """
        self.module_name = name

    def __enter__(self):
        """Simulate failed import by setting sys.modules[name]=None"""
        if self.module_name not in sys.modules:
            self._delete_on_exit = True
            self._backup = None
        else:
            self._delete_on_exit = False
            self._backup = sys.modules[self.module_name]
        sys.modules[self.module_name] = None

    def __exit__(self, exc_type, exc_val, exc_tb):
        """Restore previous state"""
        if self._delete_on_exit:
            del sys.modules[self.module_name]
        else:
            sys.modules[self.module_name] = self._backup