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# Copyright Contributors to the OpenTimelineIO project
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#    names, trademarks, service marks, or product names of the Licensor
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#    the License and to reproduce the content of the NOTICE file.
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"""Algorithms for track objects."""

import copy

from .. import (
    schema,
    exceptions,
    opentime,
)


def track_trimmed_to_range(in_track, trim_range):
    """Returns a new track that is a copy of the in_track, but with items
    outside the trim_range removed and items on the ends trimmed to the
    trim_range. Note that the track is never expanded, only shortened.
    Please note that you could do nearly the same thing non-destructively by
    just setting the Track's source_range but sometimes you want to really cut
    away the stuff outside and that's what this function is meant for."""
    new_track = copy.deepcopy(in_track)

    track_map = new_track.range_of_all_children()

    # iterate backwards so we can delete items
    for c, child in reversed(list(enumerate(new_track))):
        child_range = track_map[child]
        if not trim_range.intersects(child_range):
            # completely outside the trim range, so we discard it
            del new_track[c]
        elif trim_range.contains(child_range):
            # completely contained, keep the whole thing
            pass
        else:
            if isinstance(child, schema.Transition):
                raise exceptions.CannotTrimTransitionsError(
                    "Cannot trim in the middle of a Transition."
                )

            # we need to clip the end(s)
            child_source_range = child.trimmed_range()

            # should we trim the start?
            if trim_range.start_time > child_range.start_time:
                trim_amount = trim_range.start_time - child_range.start_time
                child_source_range = opentime.TimeRange(
                    start_time=child_source_range.start_time + trim_amount,
                    duration=child_source_range.duration - trim_amount

                )

            # should we trim the end?
            trim_end = trim_range.end_time_exclusive()
            child_end = child_range.end_time_exclusive()
            if trim_end < child_end:
                trim_amount = child_end - trim_end
                child_source_range = opentime.TimeRange(
                    start_time=child_source_range.start_time,
                    duration=child_source_range.duration - trim_amount

                )

            # set the new child's trims
            child.source_range = child_source_range

    return new_track


def track_with_expanded_transitions(in_track):
    """Expands transitions such that neighboring clips are trimmed into
    regions of overlap.

    For example, if your track is:
        Clip1, T, Clip2

    will return:
        Clip1', Clip1_t, T, Clip2_t, Clip2'

    Where Clip1' is the part of Clip1 not in the transition, Clip1_t is the
    part inside the transition and so on.
    """

    result_track = []

    seq_iter = iter(in_track)
    prev_thing = None
    thing = next(seq_iter, None)
    next_thing = next(seq_iter, None)

    while thing is not None:
        if isinstance(thing, schema.Transition):
            result_track.append(_expand_transition(thing, in_track))
        else:
            # not a transition, but might be trimmed by one before or after
            # in the track
            pre_transition = None
            next_transition = None

            if isinstance(prev_thing, schema.Transition):
                pre_transition = prev_thing

            if isinstance(next_thing, schema.Transition):
                next_transition = next_thing

            result_track.append(
                _trim_from_transitions(
                    thing,
                    pre=pre_transition,
                    post=next_transition
                )
            )

        # loop
        prev_thing = thing
        thing = next_thing
        next_thing = next(seq_iter, None)

    return result_track


def _expand_transition(target_transition, from_track):
    """ Expand transitions into the portions of pre-and-post clips that
    overlap with the transition.
    """

    result = from_track.neighbors_of(
        target_transition,
        schema.NeighborGapPolicy.around_transitions
    )

    trx_duration = target_transition.in_offset + target_transition.out_offset

    # make copies of the before and after, and modify their in/out points
    pre = copy.deepcopy(result[0])

    if isinstance(pre, schema.Transition):
        raise exceptions.TransitionFollowingATransitionError(
            "cannot put two transitions next to each other in a  track: "
            "{}, {}".format(
                pre,
                target_transition
            )
        )
    if target_transition.in_offset is None:
        raise RuntimeError(
            "in_offset is None on: {}".format(target_transition)
        )

    if target_transition.out_offset is None:
        raise RuntimeError(
            "out_offset is None on: {}".format(target_transition)
        )

    pre.name = (pre.name or "") + "_transition_pre"

    # ensure that pre.source_range is set, because it will get manipulated
    tr = pre.trimmed_range()

    pre.source_range = opentime.TimeRange(
        start_time=(
            tr.end_time_exclusive() - target_transition.in_offset
        ),
        duration=trx_duration.rescaled_to(
            tr.start_time
        )
    )

    post = copy.deepcopy(result[1])
    if isinstance(post, schema.Transition):
        raise exceptions.TransitionFollowingATransitionError(
            "cannot put two transitions next to each other in a  track: "
            "{}, {}".format(
                target_transition,
                post
            )
        )

    post.name = (post.name or "") + "_transition_post"

    # ensure that post.source_range is set, because it will get manipulated
    tr = post.trimmed_range()

    post.source_range = opentime.TimeRange(
        start_time=(
            tr.start_time - target_transition.in_offset
        ).rescaled_to(tr.start_time),
        duration=trx_duration.rescaled_to(tr.start_time)
    )

    return pre, target_transition, post


def _trim_from_transitions(thing, pre=None, post=None):
    """ Trim clips next to transitions. """

    result = copy.deepcopy(thing)

    # We might not have a source_range yet,
    # We can trim to the computed trimmed_range to
    # ensure we have something.
    new_range = result.trimmed_range()
    start_time = new_range.start_time
    duration = new_range.duration

    if pre:
        start_time += pre.out_offset
        duration -= pre.out_offset

    if post:
        duration -= post.in_offset

    result.source_range = opentime.TimeRange(start_time, duration)

    return result
