#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
#

"""Core windowing data structures.

This module is experimental. No backwards-compatibility guarantees.
"""

# This module is carefully crafted to have optimal performance when
# compiled while still being valid Python.  Care needs to be taken when
# editing this file as WindowedValues are created for every element for
# every step in a Beam pipeline.

#cython: profile=True

from __future__ import absolute_import

from builtins import object

from apache_beam.utils.timestamp import MAX_TIMESTAMP
from apache_beam.utils.timestamp import MIN_TIMESTAMP
from apache_beam.utils.timestamp import Timestamp


class PaneInfoTiming(object):
  """The timing of a PaneInfo."""

  EARLY = 0
  ON_TIME = 1
  LATE = 2
  UNKNOWN = 3


class PaneInfo(object):
  """Describes the trigger firing information for a given WindowedValue.

  "Panes" represent individual firings on a single window. ``PaneInfo``s are
  passed downstream after trigger firings. They contain information about
  whether it's an early/on time/late firing, if it's the last or first firing
  from a window, and the index of the firing.
  """

  def __init__(self, is_first, is_last, timing, index, nonspeculative_index):
    self._is_first = is_first
    self._is_last = is_last
    self._timing = timing
    self._index = index
    self._nonspeculative_index = nonspeculative_index
    self._encoded_byte = self._get_encoded_byte()

  def _get_encoded_byte(self):
    byte = 0
    if self._is_first:
      byte |= 1
    if self._is_last:
      byte |= 2
    byte |= self._timing << 2
    return byte

  @staticmethod
  def from_encoded_byte(encoded_byte):
    assert encoded_byte in _BYTE_TO_PANE_INFO
    return _BYTE_TO_PANE_INFO[encoded_byte]

  # Because common PaneInfo objects are cached, it is important that the value
  # is immutable.  We therefore explicitly enforce this here with read-only
  # properties.

  @property
  def is_first(self):
    return self._is_first

  @property
  def is_last(self):
    return self._is_last

  @property
  def timing(self):
    return self._timing

  @property
  def index(self):
    return self._index

  @property
  def nonspeculative_index(self):
    return self._nonspeculative_index

  @property
  def encoded_byte(self):
    return self._encoded_byte

  def __repr__(self):
    return ('PaneInfo(first: %r, last: %r, timing: %s, index: %d, '
            'nonspeculative_index: %d)') % (self.is_first, self.is_last,
                                            self.timing, self.index,
                                            self.nonspeculative_index)

  def __eq__(self, other):
    if self is other:
      return True
    return (self.is_first == other.is_first and
            self.is_last == other.is_last and
            self.timing == other.timing and
            self.index == other.index and
            self.nonspeculative_index == other.nonspeculative_index)

  def __ne__(self, other):
    # TODO(BEAM-5949): Needed for Python 2 compatibility.
    return not self == other

  def __hash__(self):
    return hash((self.is_first, self.is_last, self.timing, self.index,
                 self.nonspeculative_index))

  def __reduce__(self):
    return PaneInfo, (self._is_first, self._is_last, self._timing, self._index,
                      self._nonspeculative_index)


def _construct_well_known_pane_infos():
  pane_infos = []
  for timing in (PaneInfoTiming.EARLY, PaneInfoTiming.ON_TIME,
                 PaneInfoTiming.LATE, PaneInfoTiming.UNKNOWN):
    nonspeculative_index = -1 if timing == PaneInfoTiming.EARLY else 0
    pane_infos.append(PaneInfo(True, True, timing, 0, nonspeculative_index))
    pane_infos.append(PaneInfo(True, False, timing, 0, nonspeculative_index))
    pane_infos.append(PaneInfo(False, True, timing, -1, nonspeculative_index))
    pane_infos.append(PaneInfo(False, False, timing, -1, nonspeculative_index))
  result = [None] * (max(p.encoded_byte for p in pane_infos) + 1)
  for pane_info in pane_infos:
    result[pane_info.encoded_byte] = pane_info
  return result


# Cache of well-known PaneInfo objects.
_BYTE_TO_PANE_INFO = _construct_well_known_pane_infos()


# Default PaneInfo descriptor for when a value is not the output of triggering.
PANE_INFO_UNKNOWN = _BYTE_TO_PANE_INFO[0xF]


class WindowedValue(object):
  """A windowed value having a value, a timestamp and set of windows.

  Attributes:
    value: The underlying value of a windowed value.
    timestamp: Timestamp associated with the value as seconds since Unix epoch.
    windows: A set (iterable) of window objects for the value. The window
      object are descendants of the BoundedWindow class.
    pane_info: A PaneInfo descriptor describing the triggering information for
      the pane that contained this value.  If None, will be set to
      PANE_INFO_UNKNOWN.
  """

  def __init__(self, value, timestamp, windows, pane_info=PANE_INFO_UNKNOWN):
    # For performance reasons, only timestamp_micros is stored by default
    # (as a C int). The Timestamp object is created on demand below.
    self.value = value
    if isinstance(timestamp, int):
      self.timestamp_micros = timestamp * 1000000
    else:
      self.timestamp_object = (timestamp if isinstance(timestamp, Timestamp)
                               else Timestamp.of(timestamp))
      self.timestamp_micros = self.timestamp_object.micros
    self.windows = windows
    self.pane_info = pane_info

  @property
  def timestamp(self):
    if self.timestamp_object is None:
      self.timestamp_object = Timestamp(0, self.timestamp_micros)
    return self.timestamp_object

  def __repr__(self):
    return '(%s, %s, %s, %s)' % (
        repr(self.value),
        'MIN_TIMESTAMP' if self.timestamp == MIN_TIMESTAMP else
        'MAX_TIMESTAMP' if self.timestamp == MAX_TIMESTAMP else
        float(self.timestamp),
        self.windows,
        self.pane_info)

  def __eq__(self, other):
    return (type(self) == type(other)
            and self.timestamp_micros == other.timestamp_micros
            and self.value == other.value
            and self.windows == other.windows
            and self.pane_info == other.pane_info)

  def __ne__(self, other):
    # TODO(BEAM-5949): Needed for Python 2 compatibility.
    return not self == other

  def __hash__(self):
    return ((hash(self.value) & 0xFFFFFFFFFFFFFFF) +
            3 * (self.timestamp_micros & 0xFFFFFFFFFFFFFF) +
            7 * (hash(self.windows) & 0xFFFFFFFFFFFFF) +
            11 * (hash(self.pane_info) & 0xFFFFFFFFFFFFF))

  def with_value(self, new_value):
    """Creates a new WindowedValue with the same timestamps and windows as this.

    This is the fasted way to create a new WindowedValue.
    """
    return create(new_value, self.timestamp_micros, self.windows,
                  self.pane_info)

  def __reduce__(self):
    return WindowedValue, (self.value, self.timestamp, self.windows,
                           self.pane_info)


# TODO(robertwb): Move this to a static method.
def create(value, timestamp_micros, windows, pane_info=PANE_INFO_UNKNOWN):
  wv = WindowedValue.__new__(WindowedValue)
  wv.value = value
  wv.timestamp_micros = timestamp_micros
  wv.windows = windows
  wv.pane_info = pane_info
  return wv


try:
  WindowedValue.timestamp_object = None
except TypeError:
  # When we're compiled, we can't dynamically add attributes to
  # the cdef class, but in this case it's OK as it's already present
  # on each instance.
  pass


class _IntervalWindowBase(object):
  """Optimized form of IntervalWindow storing only microseconds for endpoints.
  """

  def __init__(self, start, end):
    if start is not None or end is not None:
      self._start_object = Timestamp.of(start)
      self._end_object = Timestamp.of(end)
      try:
        self._start_micros = self._start_object.micros
      except OverflowError:
        self._start_micros = (
            MIN_TIMESTAMP.micros if self._start_object.micros < 0
            else MAX_TIMESTAMP.micros)
      try:
        self._end_micros = self._end_object.micros
      except OverflowError:
        self._end_micros = (
            MIN_TIMESTAMP.micros if self._end_object.micros < 0
            else MAX_TIMESTAMP.micros)
    else:
      # Micros must be populated elsewhere.
      self._start_object = self._end_object = None

  @property
  def start(self):
    if self._start_object is None:
      self._start_object = Timestamp(0, self._start_micros)
    return self._start_object

  @property
  def end(self):
    if self._end_object is None:
      self._end_object = Timestamp(0, self._end_micros)
    return self._end_object

  def __hash__(self):
    return hash((self._start_micros, self._end_micros))

  def __eq__(self, other):
    return (type(self) == type(other)
            and self._start_micros == other._start_micros
            and self._end_micros == other._end_micros)

  def __ne__(self, other):
    return not self == other

  def __repr__(self):
    return '[%s, %s)' % (float(self.start), float(self.end))