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#
# Copyright (C) 2016-2019 by Nathan Lovato, Daniel Oakey, Razvan Radulescu, and contributors
#
# This file is part of Power Sequencer.
#
# Power Sequencer is free software: you can redistribute it and/or modify it under the terms of the
# GNU General Public License as published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# Power Sequencer is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
# without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with Power Sequencer. If
# not, see <https://www.gnu.org/licenses/>.
#
import bpy
from .utils.functions import slice_selection
from .utils.doc import doc_name, doc_idname, doc_brief, doc_description
class POWER_SEQUENCER_OT_expand_to_surrounding_cuts(bpy.types.Operator):
"""
*Brief* Expand selected strips to surrounding cuts
Finds potential gaps surrounding each block of selected sequences and extends the corresponding
sequence handle to it.
"""
doc = {
"name": doc_name(__qualname__),
"demo": "",
"description": doc_description(__doc__),
"shortcuts": [
({"type": "E", "value": "PRESS", "ctrl": True}, {}, "Expand to Surrounding Cuts")
],
"keymap": "Sequencer",
}
bl_idname = doc_idname(__qualname__)
bl_label = doc["name"]
bl_description = doc_brief(doc["description"])
bl_options = {"REGISTER", "UNDO"}
margin: bpy.props.FloatProperty(
name="Trim margin",
description="Margin to leave on either sides of the trim in seconds",
default=0.2,
min=0,
)
gap_remove: bpy.props.BoolProperty(
name="Remove gaps",
description="When trimming the sequences, remove gaps automatically",
default=True,
)
@classmethod
def poll(cls, context):
return context.selected_sequences
def invoke(self, context, event):
sequence_blocks = slice_selection(context, context.selected_sequences)
for sequences in sequence_blocks:
sequences_frame_start = min(
sequences, key=lambda s: s.frame_final_start
).frame_final_start
sequences_frame_end = max(sequences, key=lambda s: s.frame_final_end).frame_final_end
frame_left, frame_right = find_closest_cuts(
context, sequences_frame_start, sequences_frame_end
)
if sequences_frame_start == frame_left and sequences_frame_end == frame_right:
continue
to_extend_left = [s for s in sequences if s.frame_final_start == sequences_frame_start]
to_extend_right = [s for s in sequences if s.frame_final_end == sequences_frame_end]
for s in to_extend_left:
s.frame_final_start = (
frame_left if frame_left < sequences_frame_start else sequences_frame_start
)
for s in to_extend_right:
s.frame_final_end = (
frame_right if frame_right > sequences_frame_end else sequences_frame_end
)
return {"FINISHED"}
def find_closest_cuts(context, frame_min, frame_max):
frame_left = max(
context.sequences, key=lambda s: s.frame_final_end if s.frame_final_end <= frame_min else -1
).frame_final_end
frame_right = min(
context.sequences,
key=lambda s: s.frame_final_start if s.frame_final_start >= frame_max else 1000000,
).frame_final_start
return frame_left, frame_right
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