# Copyright 2013-2014 Ray Holder
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import random
import sys
import time
import traceback
from functools import wraps

# sys.maxint / 2, since Python 3.2 doesn't have a sys.maxint...
MAX_WAIT = 1073741823


def _retry_if_exception_of_type(retryable_types):
    def _retry_if_exception_these_types(exception):
        return isinstance(exception, retryable_types)

    return _retry_if_exception_these_types


def retry(*dargs, **dkw):
    """
    Decorator function that instantiates the Retrying object
    @param *dargs: positional arguments passed to Retrying object
    @param **dkw: keyword arguments passed to the Retrying object
    """
    # support both @retry and @retry() as valid syntax
    if len(dargs) == 1 and callable(dargs[0]):

        def wrap_simple(f):
            @wraps(f)
            def wrapped_f(*args, **kw):
                return Retrying().call(f, *args, **kw)

            return wrapped_f

        return wrap_simple(dargs[0])

    else:

        def wrap(f):
            @wraps(f)
            def wrapped_f(*args, **kw):
                return Retrying(*dargs, **dkw).call(f, *args, **kw)

            return wrapped_f

        return wrap

_default_logger = None
_configured_null_logger = False

def _pick_logger(logger=None):
    # Factor this logic out into a smaller function so that `global` only needs to be here,
    # not the large __init__ function.
    global _default_logger, _configured_null_logger

    if logger in (True, None):
        if _default_logger is None:
            _default_logger = logging.getLogger(__name__)
        # Only add the null handler once, not every time we get the logger
        if logger is None and not _configured_null_logger:
            _configured_null_logger = True
            _default_logger.addHandler(logging.NullHandler())
            _default_logger.propagate = False
        return _default_logger
    else:  # Not None (and not True) -> must have supplied a logger. Just use that.
        return logger


class Retrying(object):
    def __init__(
        self,
        stop=None,
        wait=None,
        stop_max_attempt_number=None,
        stop_max_delay=None,
        wait_fixed=None,
        wait_random_min=None,
        wait_random_max=None,
        wait_incrementing_start=None,
        wait_incrementing_increment=None,
        wait_incrementing_max=None,
        wait_exponential_multiplier=None,
        wait_exponential_max=None,
        retry_on_exception=None,
        retry_on_result=None,
        wrap_exception=False,
        stop_func=None,
        wait_func=None,
        wait_jitter_max=None,
        before_attempts=None,
        after_attempts=None,
        logger=None,
    ):

        self._stop_max_attempt_number = (
            5 if stop_max_attempt_number is None else stop_max_attempt_number
        )
        self._stop_max_delay = 100 if stop_max_delay is None else stop_max_delay
        self._wait_fixed = 1000 if wait_fixed is None else wait_fixed
        self._wait_random_min = 0 if wait_random_min is None else wait_random_min
        self._wait_random_max = 1000 if wait_random_max is None else wait_random_max
        self._wait_incrementing_start = (
            0 if wait_incrementing_start is None else wait_incrementing_start
        )
        self._wait_incrementing_increment = (
            100 if wait_incrementing_increment is None else wait_incrementing_increment
        )
        self._wait_exponential_multiplier = (
            1 if wait_exponential_multiplier is None else wait_exponential_multiplier
        )
        self._wait_exponential_max = (
            MAX_WAIT if wait_exponential_max is None else wait_exponential_max
        )
        self._wait_incrementing_max = (
            MAX_WAIT if wait_incrementing_max is None else wait_incrementing_max
        )
        self._wait_jitter_max = 0 if wait_jitter_max is None else wait_jitter_max
        self._before_attempts = before_attempts
        self._after_attempts = after_attempts

        self._logger = _pick_logger(logger)

        # TODO add chaining of stop behaviors
        # stop behavior
        stop_funcs = []
        if stop_max_attempt_number is not None:
            stop_funcs.append(self.stop_after_attempt)

        if stop_max_delay is not None:
            stop_funcs.append(self.stop_after_delay)

        if stop_func is not None:
            self.stop = stop_func

        elif stop is None:
            self.stop = lambda attempts, delay: any(
                f(attempts, delay) for f in stop_funcs
            )

        else:
            self.stop = getattr(self, stop)

        # TODO add chaining of wait behaviors
        # wait behavior
        wait_funcs = [lambda *args, **kwargs: 0]
        if wait_fixed is not None:
            wait_funcs.append(self.fixed_sleep)

        if wait_random_min is not None or wait_random_max is not None:
            wait_funcs.append(self.random_sleep)

        if (
            wait_incrementing_start is not None
            or wait_incrementing_increment is not None
        ):
            wait_funcs.append(self.incrementing_sleep)

        if wait_exponential_multiplier is not None or wait_exponential_max is not None:
            wait_funcs.append(self.exponential_sleep)

        if wait_func is not None:
            self.wait = wait_func

        elif wait is None:
            self.wait = lambda attempts, delay: max(
                f(attempts, delay) for f in wait_funcs
            )

        else:
            self.wait = getattr(self, wait)

        # retry on exception filter
        if retry_on_exception is None:
            self._retry_on_exception = self.always_reject
        else:
            # this allows for providing a tuple of exception types that
            # should be allowed to retry on, and avoids having to create
            # a callback that does the same thing
            if isinstance(retry_on_exception, (tuple, Exception)):
                retry_on_exception = _retry_if_exception_of_type(retry_on_exception)
            self._retry_on_exception = retry_on_exception

        # retry on result filter
        if retry_on_result is None:
            self._retry_on_result = self.never_reject
        else:
            self._retry_on_result = retry_on_result

        self._wrap_exception = wrap_exception

    def stop_after_attempt(self, previous_attempt_number, delay_since_first_attempt_ms):
        """Stop after the previous attempt >= stop_max_attempt_number."""
        return previous_attempt_number >= self._stop_max_attempt_number

    def stop_after_delay(self, previous_attempt_number, delay_since_first_attempt_ms):
        """Stop after the time from the first attempt >= stop_max_delay."""
        return delay_since_first_attempt_ms >= self._stop_max_delay

    @staticmethod
    def no_sleep(previous_attempt_number, delay_since_first_attempt_ms):
        """Don't sleep at all before retrying."""
        return 0

    def fixed_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
        """Sleep a fixed amount of time between each retry."""
        return self._wait_fixed

    def random_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
        """Sleep a random amount of time between wait_random_min and wait_random_max"""
        return random.randint(self._wait_random_min, self._wait_random_max)

    def incrementing_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
        """
        Sleep an incremental amount of time after each attempt, starting at
        wait_incrementing_start and incrementing by wait_incrementing_increment
        """
        result = self._wait_incrementing_start + (
            self._wait_incrementing_increment * (previous_attempt_number - 1)
        )
        if result > self._wait_incrementing_max:
            result = self._wait_incrementing_max
        if result < 0:
            result = 0
        return result

    def exponential_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
        exp = 2**previous_attempt_number
        result = self._wait_exponential_multiplier * exp
        if result > self._wait_exponential_max:
            result = self._wait_exponential_max
        if result < 0:
            result = 0
        return result

    @staticmethod
    def never_reject(result):
        return False

    @staticmethod
    def always_reject(result):
        return True

    def should_reject(self, attempt):
        reject = False
        if attempt.has_exception:
            reject |= self._retry_on_exception(attempt.value[1])
        else:
            reject |= self._retry_on_result(attempt.value)

        return reject

    def call(self, fn, *args, **kwargs):
        start_time = int(round(time.time() * 1000))
        attempt_number = 1
        while True:
            if self._before_attempts:
                self._before_attempts(attempt_number)

            try:
                attempt = Attempt(fn(*args, **kwargs), attempt_number, False)
            except Exception:
                tb = sys.exc_info()
                attempt = Attempt(tb, attempt_number, True)

            if not self.should_reject(attempt):
                return attempt.get(self._wrap_exception)

            self._logger.warning(attempt)
            if self._after_attempts:
                self._after_attempts(attempt_number)

            delay_since_first_attempt_ms = int(round(time.time() * 1000)) - start_time
            if self.stop(attempt_number, delay_since_first_attempt_ms):
                if not self._wrap_exception and attempt.has_exception:
                    # get() on an attempt with an exception should cause it to be raised, but raise just in case
                    raise attempt.get()
                else:
                    raise RetryError(attempt)
            else:
                sleep = self.wait(attempt_number, delay_since_first_attempt_ms)
                if self._wait_jitter_max:
                    jitter = random.random() * self._wait_jitter_max
                    sleep = sleep + max(0, jitter)
                self._logger.info(f"Retrying in {sleep / 1000.0:.2f} seconds.")
                time.sleep(sleep / 1000.0)

            attempt_number += 1


class Attempt(object):
    """
    An Attempt encapsulates a call to a target function that may end as a
    normal return value from the function or an Exception depending on what
    occurred during the execution.
    """

    def __init__(self, value, attempt_number, has_exception):
        self.value = value
        self.attempt_number = attempt_number
        self.has_exception = has_exception

    def get(self, wrap_exception=False):
        """
        Return the return value of this Attempt instance or raise an Exception.
        If wrap_exception is true, this Attempt is wrapped inside of a
        RetryError before being raised.
        """
        if self.has_exception:
            if wrap_exception:
                raise RetryError(self)
            else:
                exc_type, exc, tb = self.value
                raise exc.with_traceback(tb)
        else:
            return self.value

    def __repr__(self):
        if self.has_exception:
            return f"Attempts: {self.attempt_number}, Error:\n{''.join(traceback.format_tb(self.value[2]))}"
        else:
            return f"Attempts: {self.attempt_number}, Value: {self.value}"


class RetryError(Exception):
    """
    A RetryError encapsulates the last Attempt instance right before giving up.
    """

    def __init__(self, last_attempt):
        self.last_attempt = last_attempt

    def __str__(self):
        return f"RetryError[{self.last_attempt}]"