Merge pull request #2209 from pypeclub/feature/PYPE-1897_publishing-tvp-with-studio-rendering

TVPaint: Workers rendering
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Jakub Trllo 2021-11-24 10:33:24 +01:00 committed by GitHub
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@ -0,0 +1,682 @@
import os
import shutil
import collections
from PIL import Image, ImageDraw
def backwards_id_conversion(data_by_layer_id):
"""Convert layer ids to strings from integers."""
for key in tuple(data_by_layer_id.keys()):
if not isinstance(key, str):
data_by_layer_id[str(key)] = data_by_layer_id.pop(key)
def get_frame_filename_template(frame_end, filename_prefix=None, ext=None):
"""Get file template with frame key for rendered files.
This is simple template contains `{frame}{ext}` for sequential outputs
and `single_file{ext}` for single file output. Output is rendered to
temporary folder so filename should not matter as integrator change
them.
"""
frame_padding = 4
frame_end_str_len = len(str(frame_end))
if frame_end_str_len > frame_padding:
frame_padding = frame_end_str_len
ext = ext or ".png"
filename_prefix = filename_prefix or ""
return "{}{{frame:0>{}}}{}".format(filename_prefix, frame_padding, ext)
def get_layer_pos_filename_template(range_end, filename_prefix=None, ext=None):
filename_prefix = filename_prefix or ""
new_filename_prefix = filename_prefix + "pos_{pos}."
return get_frame_filename_template(range_end, new_filename_prefix, ext)
def _calculate_pre_behavior_copy(
range_start, exposure_frames, pre_beh,
layer_frame_start, layer_frame_end,
output_idx_by_frame_idx
):
"""Calculate frames before first exposure frame based on pre behavior.
Function may skip whole processing if first exposure frame is before
layer's first frame. In that case pre behavior does not make sense.
Args:
range_start(int): First frame of range which should be rendered.
exposure_frames(list): List of all exposure frames on layer.
pre_beh(str): Pre behavior of layer (enum of 4 strings).
layer_frame_start(int): First frame of layer.
layer_frame_end(int): Last frame of layer.
output_idx_by_frame_idx(dict): References to already prepared frames
and where result will be stored.
"""
# Check if last layer frame is after range end
if layer_frame_start < range_start:
return
first_exposure_frame = min(exposure_frames)
# Skip if last exposure frame is after range end
if first_exposure_frame < range_start:
return
# Calculate frame count of layer
frame_count = layer_frame_end - layer_frame_start + 1
if pre_beh == "none":
# Just fill all frames from last exposure frame to range end with None
for frame_idx in range(range_start, layer_frame_start):
output_idx_by_frame_idx[frame_idx] = None
elif pre_beh == "hold":
# Keep first frame for whole time
for frame_idx in range(range_start, layer_frame_start):
output_idx_by_frame_idx[frame_idx] = first_exposure_frame
elif pre_beh in ("loop", "repeat"):
# Loop backwards from last frame of layer
for frame_idx in reversed(range(range_start, layer_frame_start)):
eq_frame_idx_offset = (
(layer_frame_end - frame_idx) % frame_count
)
eq_frame_idx = layer_frame_end - eq_frame_idx_offset
output_idx_by_frame_idx[frame_idx] = eq_frame_idx
elif pre_beh == "pingpong":
half_seq_len = frame_count - 1
seq_len = half_seq_len * 2
for frame_idx in reversed(range(range_start, layer_frame_start)):
eq_frame_idx_offset = (layer_frame_start - frame_idx) % seq_len
if eq_frame_idx_offset > half_seq_len:
eq_frame_idx_offset = (seq_len - eq_frame_idx_offset)
eq_frame_idx = layer_frame_start + eq_frame_idx_offset
output_idx_by_frame_idx[frame_idx] = eq_frame_idx
def _calculate_post_behavior_copy(
range_end, exposure_frames, post_beh,
layer_frame_start, layer_frame_end,
output_idx_by_frame_idx
):
"""Calculate frames after last frame of layer based on post behavior.
Function may skip whole processing if last layer frame is after range_end.
In that case post behavior does not make sense.
Args:
range_end(int): Last frame of range which should be rendered.
exposure_frames(list): List of all exposure frames on layer.
post_beh(str): Post behavior of layer (enum of 4 strings).
layer_frame_start(int): First frame of layer.
layer_frame_end(int): Last frame of layer.
output_idx_by_frame_idx(dict): References to already prepared frames
and where result will be stored.
"""
# Check if last layer frame is after range end
if layer_frame_end >= range_end:
return
last_exposure_frame = max(exposure_frames)
# Skip if last exposure frame is after range end
# - this is probably irrelevant with layer frame end check?
if last_exposure_frame >= range_end:
return
# Calculate frame count of layer
frame_count = layer_frame_end - layer_frame_start + 1
if post_beh == "none":
# Just fill all frames from last exposure frame to range end with None
for frame_idx in range(layer_frame_end + 1, range_end + 1):
output_idx_by_frame_idx[frame_idx] = None
elif post_beh == "hold":
# Keep last exposure frame to the end
for frame_idx in range(layer_frame_end + 1, range_end + 1):
output_idx_by_frame_idx[frame_idx] = last_exposure_frame
elif post_beh in ("loop", "repeat"):
# Loop backwards from last frame of layer
for frame_idx in range(layer_frame_end + 1, range_end + 1):
eq_frame_idx = frame_idx % frame_count
output_idx_by_frame_idx[frame_idx] = eq_frame_idx
elif post_beh == "pingpong":
half_seq_len = frame_count - 1
seq_len = half_seq_len * 2
for frame_idx in range(layer_frame_end + 1, range_end + 1):
eq_frame_idx_offset = (frame_idx - layer_frame_end) % seq_len
if eq_frame_idx_offset > half_seq_len:
eq_frame_idx_offset = seq_len - eq_frame_idx_offset
eq_frame_idx = layer_frame_end - eq_frame_idx_offset
output_idx_by_frame_idx[frame_idx] = eq_frame_idx
def _calculate_in_range_frames(
range_start, range_end,
exposure_frames, layer_frame_end,
output_idx_by_frame_idx
):
"""Calculate frame references in defined range.
Function may skip whole processing if last layer frame is after range_end.
In that case post behavior does not make sense.
Args:
range_start(int): First frame of range which should be rendered.
range_end(int): Last frame of range which should be rendered.
exposure_frames(list): List of all exposure frames on layer.
layer_frame_end(int): Last frame of layer.
output_idx_by_frame_idx(dict): References to already prepared frames
and where result will be stored.
"""
# Calculate in range frames
in_range_frames = []
for frame_idx in exposure_frames:
if range_start <= frame_idx <= range_end:
output_idx_by_frame_idx[frame_idx] = frame_idx
in_range_frames.append(frame_idx)
if in_range_frames:
first_in_range_frame = min(in_range_frames)
# Calculate frames from first exposure frames to range end or last
# frame of layer (post behavior should be calculated since that time)
previous_exposure = first_in_range_frame
for frame_idx in range(first_in_range_frame, range_end + 1):
if frame_idx > layer_frame_end:
break
if frame_idx in exposure_frames:
previous_exposure = frame_idx
else:
output_idx_by_frame_idx[frame_idx] = previous_exposure
# There can be frames before first exposure frame in range
# First check if we don't alreade have first range frame filled
if range_start in output_idx_by_frame_idx:
return
first_exposure_frame = max(exposure_frames)
last_exposure_frame = max(exposure_frames)
# Check if is first exposure frame smaller than defined range
# if not then skip
if first_exposure_frame >= range_start:
return
# Check is if last exposure frame is also before range start
# in that case we can't use fill frames before out range
if last_exposure_frame < range_start:
return
closest_exposure_frame = first_exposure_frame
for frame_idx in exposure_frames:
if frame_idx >= range_start:
break
if frame_idx > closest_exposure_frame:
closest_exposure_frame = frame_idx
output_idx_by_frame_idx[closest_exposure_frame] = closest_exposure_frame
for frame_idx in range(range_start, range_end + 1):
if frame_idx in output_idx_by_frame_idx:
break
output_idx_by_frame_idx[frame_idx] = closest_exposure_frame
def _cleanup_frame_references(output_idx_by_frame_idx):
"""Cleanup frame references to frame reference.
Cleanup not direct references to rendered frame.
```
// Example input
{
1: 1,
2: 1,
3: 2
}
// Result
{
1: 1,
2: 1,
3: 1 // Changed reference to final rendered frame
}
```
Result is dictionary where keys leads to frame that should be rendered.
"""
for frame_idx in tuple(output_idx_by_frame_idx.keys()):
reference_idx = output_idx_by_frame_idx[frame_idx]
# Skip transparent frames
if reference_idx is None or reference_idx == frame_idx:
continue
real_reference_idx = reference_idx
_tmp_reference_idx = reference_idx
while True:
_temp = output_idx_by_frame_idx[_tmp_reference_idx]
if _temp == _tmp_reference_idx:
real_reference_idx = _tmp_reference_idx
break
_tmp_reference_idx = _temp
if real_reference_idx != reference_idx:
output_idx_by_frame_idx[frame_idx] = real_reference_idx
def _cleanup_out_range_frames(output_idx_by_frame_idx, range_start, range_end):
"""Cleanup frame references to frames out of passed range.
First available frame in range is used
```
// Example input. Range 2-3
{
1: 1,
2: 1,
3: 1
}
// Result
{
2: 2, // Redirect to self as is first that refence out range
3: 2 // Redirect to first redirected frame
}
```
Result is dictionary where keys leads to frame that should be rendered.
"""
in_range_frames_by_out_frames = collections.defaultdict(set)
out_range_frames = set()
for frame_idx in tuple(output_idx_by_frame_idx.keys()):
# Skip frames that are already out of range
if frame_idx < range_start or frame_idx > range_end:
out_range_frames.add(frame_idx)
continue
reference_idx = output_idx_by_frame_idx[frame_idx]
# Skip transparent frames
if reference_idx is None:
continue
# Skip references in range
if reference_idx < range_start or reference_idx > range_end:
in_range_frames_by_out_frames[reference_idx].add(frame_idx)
for reference_idx in tuple(in_range_frames_by_out_frames.keys()):
frame_indexes = in_range_frames_by_out_frames.pop(reference_idx)
new_reference = None
for frame_idx in frame_indexes:
if new_reference is None:
new_reference = frame_idx
output_idx_by_frame_idx[frame_idx] = new_reference
# Finally remove out of range frames
for frame_idx in out_range_frames:
output_idx_by_frame_idx.pop(frame_idx)
def calculate_layer_frame_references(
range_start, range_end,
layer_frame_start,
layer_frame_end,
exposure_frames,
pre_beh, post_beh
):
"""Calculate frame references for one layer based on it's data.
Output is dictionary where key is frame index referencing to rendered frame
index. If frame index should be rendered then is referencing to self.
```
// Example output
{
1: 1, // Reference to self - will be rendered
2: 1, // Reference to frame 1 - will be copied
3: 1, // Reference to frame 1 - will be copied
4: 4, // Reference to self - will be rendered
...
20: 4 // Reference to frame 4 - will be copied
21: None // Has reference to None - transparent image
}
```
Args:
range_start(int): First frame of range which should be rendered.
range_end(int): Last frame of range which should be rendered.
layer_frame_start(int)L First frame of layer.
layer_frame_end(int): Last frame of layer.
exposure_frames(list): List of all exposure frames on layer.
pre_beh(str): Pre behavior of layer (enum of 4 strings).
post_beh(str): Post behavior of layer (enum of 4 strings).
"""
# Output variable
output_idx_by_frame_idx = {}
# Skip if layer does not have any exposure frames
if not exposure_frames:
return output_idx_by_frame_idx
# First calculate in range frames
_calculate_in_range_frames(
range_start, range_end,
exposure_frames, layer_frame_end,
output_idx_by_frame_idx
)
# Calculate frames by pre behavior of layer
_calculate_pre_behavior_copy(
range_start, exposure_frames, pre_beh,
layer_frame_start, layer_frame_end,
output_idx_by_frame_idx
)
# Calculate frames by post behavior of layer
_calculate_post_behavior_copy(
range_end, exposure_frames, post_beh,
layer_frame_start, layer_frame_end,
output_idx_by_frame_idx
)
# Cleanup of referenced frames
_cleanup_frame_references(output_idx_by_frame_idx)
# Remove frames out of range
_cleanup_out_range_frames(output_idx_by_frame_idx, range_start, range_end)
return output_idx_by_frame_idx
def calculate_layers_extraction_data(
layers_data,
exposure_frames_by_layer_id,
behavior_by_layer_id,
range_start,
range_end,
skip_not_visible=True,
filename_prefix=None,
ext=None
):
"""Calculate extraction data for passed layers data.
```
{
<layer_id>: {
"frame_references": {...},
"filenames_by_frame_index": {...}
},
...
}
```
Frame references contains frame index reference to rendered frame index.
Filename by frame index represents filename under which should be frame
stored. Directory is not handled here because each usage may need different
approach.
Args:
layers_data(list): Layers data loaded from TVPaint.
exposure_frames_by_layer_id(dict): Exposure frames of layers stored by
layer id.
behavior_by_layer_id(dict): Pre and Post behavior of layers stored by
layer id.
range_start(int): First frame of rendered range.
range_end(int): Last frame of rendered range.
skip_not_visible(bool): Skip calculations for hidden layers (Skipped
by default).
filename_prefix(str): Prefix before filename.
ext(str): Extension which filenames will have ('.png' is default).
Returns:
dict: Prepared data for rendering by layer position.
"""
# Make sure layer ids are strings
# backwards compatibility when layer ids were integers
backwards_id_conversion(exposure_frames_by_layer_id)
backwards_id_conversion(behavior_by_layer_id)
layer_template = get_layer_pos_filename_template(
range_end, filename_prefix, ext
)
output = {}
for layer_data in layers_data:
if skip_not_visible and not layer_data["visible"]:
continue
orig_layer_id = layer_data["layer_id"]
layer_id = str(orig_layer_id)
# Skip if does not have any exposure frames (empty layer)
exposure_frames = exposure_frames_by_layer_id[layer_id]
if not exposure_frames:
continue
layer_position = layer_data["position"]
layer_frame_start = layer_data["frame_start"]
layer_frame_end = layer_data["frame_end"]
layer_behavior = behavior_by_layer_id[layer_id]
pre_behavior = layer_behavior["pre"]
post_behavior = layer_behavior["post"]
frame_references = calculate_layer_frame_references(
range_start, range_end,
layer_frame_start,
layer_frame_end,
exposure_frames,
pre_behavior, post_behavior
)
# All values in 'frame_references' reference to a frame that must be
# rendered out
frames_to_render = set(frame_references.values())
# Remove 'None' reference (transparent image)
if None in frames_to_render:
frames_to_render.remove(None)
# Skip layer if has nothing to render
if not frames_to_render:
continue
# All filenames that should be as output (not final output)
filename_frames = (
set(range(range_start, range_end + 1))
| frames_to_render
)
filenames_by_frame_index = {}
for frame_idx in filename_frames:
filenames_by_frame_index[frame_idx] = layer_template.format(
pos=layer_position,
frame=frame_idx
)
# Store objects under the layer id
output[orig_layer_id] = {
"frame_references": frame_references,
"filenames_by_frame_index": filenames_by_frame_index
}
return output
def create_transparent_image_from_source(src_filepath, dst_filepath):
"""Create transparent image of same type and size as source image."""
img_obj = Image.open(src_filepath)
painter = ImageDraw.Draw(img_obj)
painter.rectangle((0, 0, *img_obj.size), fill=(0, 0, 0, 0))
img_obj.save(dst_filepath)
def fill_reference_frames(frame_references, filepaths_by_frame):
# Store path to first transparent image if there is any
for frame_idx, ref_idx in frame_references.items():
# Frame referencing to self should be rendered and used as source
# and reference indexes with None can't be filled
if ref_idx is None or frame_idx == ref_idx:
continue
# Get destination filepath
src_filepath = filepaths_by_frame[ref_idx]
dst_filepath = filepaths_by_frame[frame_idx]
if hasattr(os, "link"):
os.link(src_filepath, dst_filepath)
else:
shutil.copy(src_filepath, dst_filepath)
def copy_render_file(src_path, dst_path):
"""Create copy file of an image."""
if hasattr(os, "link"):
os.link(src_path, dst_path)
else:
shutil.copy(src_path, dst_path)
def cleanup_rendered_layers(filepaths_by_layer_id):
"""Delete all files for each individual layer files after compositing."""
# Collect all filepaths from data
all_filepaths = []
for filepaths_by_frame in filepaths_by_layer_id.values():
all_filepaths.extend(filepaths_by_frame.values())
# Loop over loop
for filepath in set(all_filepaths):
if filepath is not None and os.path.exists(filepath):
os.remove(filepath)
def composite_rendered_layers(
layers_data, filepaths_by_layer_id,
range_start, range_end,
dst_filepaths_by_frame, cleanup=True
):
"""Composite multiple rendered layers by their position.
Result is single frame sequence with transparency matching content
created in TVPaint. Missing source filepaths are replaced with transparent
images but at least one image must be rendered and exist.
Function can be used even if single layer was created to fill transparent
filepaths.
Args:
layers_data(list): Layers data loaded from TVPaint.
filepaths_by_layer_id(dict): Rendered filepaths stored by frame index
per layer id. Used as source for compositing.
range_start(int): First frame of rendered range.
range_end(int): Last frame of rendered range.
dst_filepaths_by_frame(dict): Output filepaths by frame where final
image after compositing will be stored. Path must not clash with
source filepaths.
cleanup(bool): Remove all source filepaths when done with compositing.
"""
# Prepare layers by their position
# - position tells in which order will compositing happen
layer_ids_by_position = {}
for layer in layers_data:
layer_position = layer["position"]
layer_ids_by_position[layer_position] = layer["layer_id"]
# Sort layer positions
sorted_positions = tuple(sorted(layer_ids_by_position.keys()))
# Prepare variable where filepaths without any rendered content
# - transparent will be created
transparent_filepaths = set()
# Store first final filepath
first_dst_filepath = None
for frame_idx in range(range_start, range_end + 1):
dst_filepath = dst_filepaths_by_frame[frame_idx]
src_filepaths = []
for layer_position in sorted_positions:
layer_id = layer_ids_by_position[layer_position]
filepaths_by_frame = filepaths_by_layer_id[layer_id]
src_filepath = filepaths_by_frame.get(frame_idx)
if src_filepath is not None:
src_filepaths.append(src_filepath)
if not src_filepaths:
transparent_filepaths.add(dst_filepath)
continue
# Store first destionation filepath to be used for transparent images
if first_dst_filepath is None:
first_dst_filepath = dst_filepath
if len(src_filepaths) == 1:
src_filepath = src_filepaths[0]
if cleanup:
os.rename(src_filepath, dst_filepath)
else:
copy_render_file(src_filepath, dst_filepath)
else:
composite_images(src_filepaths, dst_filepath)
# Store first transparent filepath to be able copy it
transparent_filepath = None
for dst_filepath in transparent_filepaths:
if transparent_filepath is None:
create_transparent_image_from_source(
first_dst_filepath, dst_filepath
)
transparent_filepath = dst_filepath
else:
copy_render_file(transparent_filepath, dst_filepath)
# Remove all files that were used as source for compositing
if cleanup:
cleanup_rendered_layers(filepaths_by_layer_id)
def composite_images(input_image_paths, output_filepath):
"""Composite images in order from passed list.
Raises:
ValueError: When entered list is empty.
"""
if not input_image_paths:
raise ValueError("Nothing to composite.")
img_obj = None
for image_filepath in input_image_paths:
_img_obj = Image.open(image_filepath)
if img_obj is None:
img_obj = _img_obj
else:
img_obj.alpha_composite(_img_obj)
img_obj.save(output_filepath)
def rename_filepaths_by_frame_start(
filepaths_by_frame, range_start, range_end, new_frame_start
):
"""Change frames in filenames of finished images to new frame start."""
# Skip if source first frame is same as destination first frame
if range_start == new_frame_start:
return
# Calculate frame end
new_frame_end = range_end + (new_frame_start - range_start)
# Create filename template
filename_template = get_frame_filename_template(
max(range_end, new_frame_end)
)
# Use differnet ranges based on Mark In and output Frame Start values
# - this is to make sure that filename renaming won't affect files that
# are not renamed yet
if range_start < new_frame_start:
source_range = range(range_end, range_start - 1, -1)
output_range = range(new_frame_end, new_frame_start - 1, -1)
else:
# This is less possible situation as frame start will be in most
# cases higher than Mark In.
source_range = range(range_start, range_end + 1)
output_range = range(new_frame_start, new_frame_end + 1)
new_dst_filepaths = {}
for src_frame, dst_frame in zip(source_range, output_range):
src_filepath = filepaths_by_frame[src_frame]
src_dirpath = os.path.dirname(src_filepath)
dst_filename = filename_template.format(frame=dst_frame)
dst_filepath = os.path.join(src_dirpath, dst_filename)
os.rename(src_filepath, dst_filepath)
new_dst_filepaths[dst_frame] = dst_filepath
return new_dst_filepaths

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@ -1,12 +1,18 @@
import os
import shutil
import copy
import tempfile
import pyblish.api
from avalon.tvpaint import lib
from openpype.hosts.tvpaint.api.lib import composite_images
from PIL import Image, ImageDraw
from openpype.hosts.tvpaint.lib import (
calculate_layers_extraction_data,
get_frame_filename_template,
fill_reference_frames,
composite_rendered_layers,
rename_filepaths_by_frame_start
)
from PIL import Image
class ExtractSequence(pyblish.api.Extractor):
@ -111,14 +117,6 @@ class ExtractSequence(pyblish.api.Extractor):
# -------------------------------------------------------------------
filename_template = self._get_filename_template(
# Use the biggest number
max(mark_out, frame_end)
)
ext = os.path.splitext(filename_template)[1].replace(".", "")
self.log.debug("Using file template \"{}\"".format(filename_template))
# Save to staging dir
output_dir = instance.data.get("stagingDir")
if not output_dir:
@ -133,30 +131,30 @@ class ExtractSequence(pyblish.api.Extractor):
)
if instance.data["family"] == "review":
output_filenames, thumbnail_fullpath = self.render_review(
filename_template, output_dir, mark_in, mark_out,
scene_bg_color
result = self.render_review(
output_dir, mark_in, mark_out, scene_bg_color
)
else:
# Render output
output_filenames, thumbnail_fullpath = self.render(
filename_template, output_dir,
mark_in, mark_out,
filtered_layers
result = self.render(
output_dir, mark_in, mark_out, filtered_layers
)
output_filepaths_by_frame_idx, thumbnail_fullpath = result
# Change scene frame Start back to previous value
lib.execute_george("tv_startframe {}".format(scene_start_frame))
# Sequence of one frame
if not output_filenames:
if not output_filepaths_by_frame_idx:
self.log.warning("Extractor did not create any output.")
return
repre_files = self._rename_output_files(
filename_template, output_dir,
mark_in, mark_out,
output_frame_start, output_frame_end
output_filepaths_by_frame_idx,
mark_in,
mark_out,
output_frame_start
)
# Fill tags and new families
@ -169,9 +167,11 @@ class ExtractSequence(pyblish.api.Extractor):
if single_file:
repre_files = repre_files[0]
# Extension is harcoded
# - changing extension would require change code
new_repre = {
"name": ext,
"ext": ext,
"name": "png",
"ext": "png",
"files": repre_files,
"stagingDir": output_dir,
"tags": tags
@ -206,69 +206,28 @@ class ExtractSequence(pyblish.api.Extractor):
}
instance.data["representations"].append(thumbnail_repre)
def _get_filename_template(self, frame_end):
"""Get filetemplate for rendered files.
This is simple template contains `{frame}{ext}` for sequential outputs
and `single_file{ext}` for single file output. Output is rendered to
temporary folder so filename should not matter as integrator change
them.
"""
frame_padding = 4
frame_end_str_len = len(str(frame_end))
if frame_end_str_len > frame_padding:
frame_padding = frame_end_str_len
return "{{frame:0>{}}}".format(frame_padding) + ".png"
def _rename_output_files(
self, filename_template, output_dir,
mark_in, mark_out, output_frame_start, output_frame_end
self, filepaths_by_frame, mark_in, mark_out, output_frame_start
):
# Use differnet ranges based on Mark In and output Frame Start values
# - this is to make sure that filename renaming won't affect files that
# are not renamed yet
mark_start_is_less = bool(mark_in < output_frame_start)
if mark_start_is_less:
marks_range = range(mark_out, mark_in - 1, -1)
frames_range = range(output_frame_end, output_frame_start - 1, -1)
else:
# This is less possible situation as frame start will be in most
# cases higher than Mark In.
marks_range = range(mark_in, mark_out + 1)
frames_range = range(output_frame_start, output_frame_end + 1)
new_filepaths_by_frame = rename_filepaths_by_frame_start(
filepaths_by_frame, mark_in, mark_out, output_frame_start
)
repre_filepaths = []
for mark, frame in zip(marks_range, frames_range):
new_filename = filename_template.format(frame=frame)
new_filepath = os.path.join(output_dir, new_filename)
repre_filenames = []
for filepath in new_filepaths_by_frame.values():
repre_filenames.append(os.path.basename(filepath))
repre_filepaths.append(new_filepath)
if mark_in < output_frame_start:
repre_filenames = list(reversed(repre_filenames))
if mark != frame:
old_filename = filename_template.format(frame=mark)
old_filepath = os.path.join(output_dir, old_filename)
os.rename(old_filepath, new_filepath)
# Reverse repre files order if output
if mark_start_is_less:
repre_filepaths = list(reversed(repre_filepaths))
return [
os.path.basename(path)
for path in repre_filepaths
]
return repre_filenames
def render_review(
self, filename_template, output_dir, mark_in, mark_out, scene_bg_color
self, output_dir, mark_in, mark_out, scene_bg_color
):
""" Export images from TVPaint using `tv_savesequence` command.
Args:
filename_template (str): Filename template of an output. Template
should already contain extension. Template may contain only
keyword argument `{frame}` or index argument (for same value).
Extension in template must match `save_mode`.
output_dir (str): Directory where files will be stored.
mark_in (int): Starting frame index from which export will begin.
mark_out (int): On which frame index export will end.
@ -279,6 +238,8 @@ class ExtractSequence(pyblish.api.Extractor):
tuple: With 2 items first is list of filenames second is path to
thumbnail.
"""
filename_template = get_frame_filename_template(mark_out)
self.log.debug("Preparing data for rendering.")
first_frame_filepath = os.path.join(
output_dir,
@ -313,12 +274,13 @@ class ExtractSequence(pyblish.api.Extractor):
lib.execute_george_through_file("\n".join(george_script_lines))
first_frame_filepath = None
output_filenames = []
for frame in range(mark_in, mark_out + 1):
filename = filename_template.format(frame=frame)
output_filenames.append(filename)
output_filepaths_by_frame_idx = {}
for frame_idx in range(mark_in, mark_out + 1):
filename = filename_template.format(frame=frame_idx)
filepath = os.path.join(output_dir, filename)
output_filepaths_by_frame_idx[frame_idx] = filepath
if not os.path.exists(filepath):
raise AssertionError(
"Output was not rendered. File was not found {}".format(
@ -337,16 +299,12 @@ class ExtractSequence(pyblish.api.Extractor):
source_img = source_img.convert("RGB")
source_img.save(thumbnail_filepath)
return output_filenames, thumbnail_filepath
return output_filepaths_by_frame_idx, thumbnail_filepath
def render(self, filename_template, output_dir, mark_in, mark_out, layers):
def render(self, output_dir, mark_in, mark_out, layers):
""" Export images from TVPaint.
Args:
filename_template (str): Filename template of an output. Template
should already contain extension. Template may contain only
keyword argument `{frame}` or index argument (for same value).
Extension in template must match `save_mode`.
output_dir (str): Directory where files will be stored.
mark_in (int): Starting frame index from which export will begin.
mark_out (int): On which frame index export will end.
@ -360,12 +318,15 @@ class ExtractSequence(pyblish.api.Extractor):
# Map layers by position
layers_by_position = {}
layers_by_id = {}
layer_ids = []
for layer in layers:
layer_id = layer["layer_id"]
position = layer["position"]
layers_by_position[position] = layer
layers_by_id[layer_id] = layer
layer_ids.append(layer["layer_id"])
layer_ids.append(layer_id)
# Sort layer positions in reverse order
sorted_positions = list(reversed(sorted(layers_by_position.keys())))
@ -374,59 +335,45 @@ class ExtractSequence(pyblish.api.Extractor):
self.log.debug("Collecting pre/post behavior of individual layers.")
behavior_by_layer_id = lib.get_layers_pre_post_behavior(layer_ids)
tmp_filename_template = "pos_{pos}." + filename_template
files_by_position = {}
for position in sorted_positions:
layer = layers_by_position[position]
behavior = behavior_by_layer_id[layer["layer_id"]]
files_by_frames = self._render_layer(
layer,
tmp_filename_template,
output_dir,
behavior,
mark_in,
mark_out
)
if files_by_frames:
files_by_position[position] = files_by_frames
else:
self.log.warning((
"Skipped layer \"{}\". Probably out of Mark In/Out range."
).format(layer["name"]))
if not files_by_position:
layer_names = set(layer["name"] for layer in layers)
joined_names = ", ".join(
["\"{}\"".format(name) for name in layer_names]
)
self.log.warning(
"Layers {} do not have content in range {} - {}".format(
joined_names, mark_in, mark_out
)
)
return [], None
output_filepaths = self._composite_files(
files_by_position,
mark_in,
mark_out,
filename_template,
output_dir
exposure_frames_by_layer_id = lib.get_layers_exposure_frames(
layer_ids, layers
)
self._cleanup_tmp_files(files_by_position)
output_filenames = [
os.path.basename(filepath)
for filepath in output_filepaths
]
extraction_data_by_layer_id = calculate_layers_extraction_data(
layers,
exposure_frames_by_layer_id,
behavior_by_layer_id,
mark_in,
mark_out
)
# Render layers
filepaths_by_layer_id = {}
for layer_id, render_data in extraction_data_by_layer_id.items():
layer = layers_by_id[layer_id]
filepaths_by_layer_id[layer_id] = self._render_layer(
render_data, layer, output_dir
)
# Prepare final filepaths where compositing should store result
output_filepaths_by_frame = {}
thumbnail_src_filepath = None
if output_filepaths:
thumbnail_src_filepath = output_filepaths[0]
finale_template = get_frame_filename_template(mark_out)
for frame_idx in range(mark_in, mark_out + 1):
filename = finale_template.format(frame=frame_idx)
filepath = os.path.join(output_dir, filename)
output_filepaths_by_frame[frame_idx] = filepath
if thumbnail_src_filepath is None:
thumbnail_src_filepath = filepath
self.log.info("Started compositing of layer frames.")
composite_rendered_layers(
layers, filepaths_by_layer_id,
mark_in, mark_out,
output_filepaths_by_frame
)
self.log.info("Compositing finished")
thumbnail_filepath = None
if thumbnail_src_filepath and os.path.exists(thumbnail_src_filepath):
source_img = Image.open(thumbnail_src_filepath)
@ -449,7 +396,7 @@ class ExtractSequence(pyblish.api.Extractor):
).format(source_img.mode))
source_img.save(thumbnail_filepath)
return output_filenames, thumbnail_filepath
return output_filepaths_by_frame, thumbnail_filepath
def _get_review_bg_color(self):
red = green = blue = 255
@ -460,338 +407,43 @@ class ExtractSequence(pyblish.api.Extractor):
red, green, blue = self.review_bg
return (red, green, blue)
def _render_layer(
self,
layer,
tmp_filename_template,
output_dir,
behavior,
mark_in_index,
mark_out_index
):
def _render_layer(self, render_data, layer, output_dir):
frame_references = render_data["frame_references"]
filenames_by_frame_index = render_data["filenames_by_frame_index"]
layer_id = layer["layer_id"]
frame_start_index = layer["frame_start"]
frame_end_index = layer["frame_end"]
pre_behavior = behavior["pre"]
post_behavior = behavior["post"]
# Check if layer is before mark in
if frame_end_index < mark_in_index:
# Skip layer if post behavior is "none"
if post_behavior == "none":
return {}
# Check if layer is after mark out
elif frame_start_index > mark_out_index:
# Skip layer if pre behavior is "none"
if pre_behavior == "none":
return {}
exposure_frames = lib.get_exposure_frames(
layer_id, frame_start_index, frame_end_index
)
if frame_start_index not in exposure_frames:
exposure_frames.append(frame_start_index)
layer_files_by_frame = {}
george_script_lines = [
"tv_layerset {}".format(layer_id),
"tv_SaveMode \"PNG\""
]
layer_position = layer["position"]
for frame_idx in exposure_frames:
filename = tmp_filename_template.format(
pos=layer_position,
frame=frame_idx
)
filepaths_by_frame = {}
frames_to_render = []
for frame_idx, ref_idx in frame_references.items():
# None reference is skipped because does not have source
if ref_idx is None:
filepaths_by_frame[frame_idx] = None
continue
filename = filenames_by_frame_index[frame_idx]
dst_path = "/".join([output_dir, filename])
layer_files_by_frame[frame_idx] = os.path.normpath(dst_path)
filepaths_by_frame[frame_idx] = dst_path
if frame_idx != ref_idx:
continue
frames_to_render.append(str(frame_idx))
# Go to frame
george_script_lines.append("tv_layerImage {}".format(frame_idx))
# Store image to output
george_script_lines.append("tv_saveimage \"{}\"".format(dst_path))
self.log.debug("Rendering Exposure frames {} of layer {} ({})".format(
str(exposure_frames), layer_id, layer["name"]
",".join(frames_to_render), layer_id, layer["name"]
))
# Let TVPaint render layer's image
lib.execute_george_through_file("\n".join(george_script_lines))
# Fill frames between `frame_start_index` and `frame_end_index`
self.log.debug((
"Filling frames between first and last frame of layer ({} - {})."
).format(frame_start_index + 1, frame_end_index + 1))
self.log.debug("Filling frames not rendered frames.")
fill_reference_frames(frame_references, filepaths_by_frame)
_debug_filled_frames = []
prev_filepath = None
for frame_idx in range(frame_start_index, frame_end_index + 1):
if frame_idx in layer_files_by_frame:
prev_filepath = layer_files_by_frame[frame_idx]
continue
if prev_filepath is None:
raise ValueError("BUG: First frame of layer was not rendered!")
_debug_filled_frames.append(frame_idx)
filename = tmp_filename_template.format(
pos=layer_position,
frame=frame_idx
)
new_filepath = "/".join([output_dir, filename])
self._copy_image(prev_filepath, new_filepath)
layer_files_by_frame[frame_idx] = new_filepath
self.log.debug("Filled frames {}".format(str(_debug_filled_frames)))
# Fill frames by pre/post behavior of layer
self.log.debug((
"Completing image sequence of layer by pre/post behavior."
" PRE: {} | POST: {}"
).format(pre_behavior, post_behavior))
# Pre behavior
self._fill_frame_by_pre_behavior(
layer,
pre_behavior,
mark_in_index,
layer_files_by_frame,
tmp_filename_template,
output_dir
)
self._fill_frame_by_post_behavior(
layer,
post_behavior,
mark_out_index,
layer_files_by_frame,
tmp_filename_template,
output_dir
)
return layer_files_by_frame
def _fill_frame_by_pre_behavior(
self,
layer,
pre_behavior,
mark_in_index,
layer_files_by_frame,
filename_template,
output_dir
):
layer_position = layer["position"]
frame_start_index = layer["frame_start"]
frame_end_index = layer["frame_end"]
frame_count = frame_end_index - frame_start_index + 1
if mark_in_index >= frame_start_index:
self.log.debug((
"Skipping pre-behavior."
" All frames after Mark In are rendered."
))
return
if pre_behavior == "none":
# Empty frames are handled during `_composite_files`
pass
elif pre_behavior == "hold":
# Keep first frame for whole time
eq_frame_filepath = layer_files_by_frame[frame_start_index]
for frame_idx in range(mark_in_index, frame_start_index):
filename = filename_template.format(
pos=layer_position,
frame=frame_idx
)
new_filepath = "/".join([output_dir, filename])
self._copy_image(eq_frame_filepath, new_filepath)
layer_files_by_frame[frame_idx] = new_filepath
elif pre_behavior in ("loop", "repeat"):
# Loop backwards from last frame of layer
for frame_idx in reversed(range(mark_in_index, frame_start_index)):
eq_frame_idx_offset = (
(frame_end_index - frame_idx) % frame_count
)
eq_frame_idx = frame_end_index - eq_frame_idx_offset
eq_frame_filepath = layer_files_by_frame[eq_frame_idx]
filename = filename_template.format(
pos=layer_position,
frame=frame_idx
)
new_filepath = "/".join([output_dir, filename])
self._copy_image(eq_frame_filepath, new_filepath)
layer_files_by_frame[frame_idx] = new_filepath
elif pre_behavior == "pingpong":
half_seq_len = frame_count - 1
seq_len = half_seq_len * 2
for frame_idx in reversed(range(mark_in_index, frame_start_index)):
eq_frame_idx_offset = (frame_start_index - frame_idx) % seq_len
if eq_frame_idx_offset > half_seq_len:
eq_frame_idx_offset = (seq_len - eq_frame_idx_offset)
eq_frame_idx = frame_start_index + eq_frame_idx_offset
eq_frame_filepath = layer_files_by_frame[eq_frame_idx]
filename = filename_template.format(
pos=layer_position,
frame=frame_idx
)
new_filepath = "/".join([output_dir, filename])
self._copy_image(eq_frame_filepath, new_filepath)
layer_files_by_frame[frame_idx] = new_filepath
def _fill_frame_by_post_behavior(
self,
layer,
post_behavior,
mark_out_index,
layer_files_by_frame,
filename_template,
output_dir
):
layer_position = layer["position"]
frame_start_index = layer["frame_start"]
frame_end_index = layer["frame_end"]
frame_count = frame_end_index - frame_start_index + 1
if mark_out_index <= frame_end_index:
self.log.debug((
"Skipping post-behavior."
" All frames up to Mark Out are rendered."
))
return
if post_behavior == "none":
# Empty frames are handled during `_composite_files`
pass
elif post_behavior == "hold":
# Keep first frame for whole time
eq_frame_filepath = layer_files_by_frame[frame_end_index]
for frame_idx in range(frame_end_index + 1, mark_out_index + 1):
filename = filename_template.format(
pos=layer_position,
frame=frame_idx
)
new_filepath = "/".join([output_dir, filename])
self._copy_image(eq_frame_filepath, new_filepath)
layer_files_by_frame[frame_idx] = new_filepath
elif post_behavior in ("loop", "repeat"):
# Loop backwards from last frame of layer
for frame_idx in range(frame_end_index + 1, mark_out_index + 1):
eq_frame_idx = frame_idx % frame_count
eq_frame_filepath = layer_files_by_frame[eq_frame_idx]
filename = filename_template.format(
pos=layer_position,
frame=frame_idx
)
new_filepath = "/".join([output_dir, filename])
self._copy_image(eq_frame_filepath, new_filepath)
layer_files_by_frame[frame_idx] = new_filepath
elif post_behavior == "pingpong":
half_seq_len = frame_count - 1
seq_len = half_seq_len * 2
for frame_idx in range(frame_end_index + 1, mark_out_index + 1):
eq_frame_idx_offset = (frame_idx - frame_end_index) % seq_len
if eq_frame_idx_offset > half_seq_len:
eq_frame_idx_offset = seq_len - eq_frame_idx_offset
eq_frame_idx = frame_end_index - eq_frame_idx_offset
eq_frame_filepath = layer_files_by_frame[eq_frame_idx]
filename = filename_template.format(
pos=layer_position,
frame=frame_idx
)
new_filepath = "/".join([output_dir, filename])
self._copy_image(eq_frame_filepath, new_filepath)
layer_files_by_frame[frame_idx] = new_filepath
def _composite_files(
self, files_by_position, frame_start, frame_end,
filename_template, output_dir
):
"""Composite frames when more that one layer was exported.
This method is used when more than one layer is rendered out so and
output should be composition of each frame of rendered layers.
Missing frames are filled with transparent images.
"""
self.log.debug("Preparing files for compisiting.")
# Prepare paths to images by frames into list where are stored
# in order of compositing.
images_by_frame = {}
for frame_idx in range(frame_start, frame_end + 1):
images_by_frame[frame_idx] = []
for position in sorted(files_by_position.keys(), reverse=True):
position_data = files_by_position[position]
if frame_idx in position_data:
filepath = position_data[frame_idx]
images_by_frame[frame_idx].append(filepath)
output_filepaths = []
missing_frame_paths = []
random_frame_path = None
for frame_idx in sorted(images_by_frame.keys()):
image_filepaths = images_by_frame[frame_idx]
output_filename = filename_template.format(frame=frame_idx)
output_filepath = os.path.join(output_dir, output_filename)
output_filepaths.append(output_filepath)
# Store information about missing frame and skip
if not image_filepaths:
missing_frame_paths.append(output_filepath)
continue
# Just rename the file if is no need of compositing
if len(image_filepaths) == 1:
os.rename(image_filepaths[0], output_filepath)
# Composite images
else:
composite_images(image_filepaths, output_filepath)
# Store path of random output image that will 100% exist after all
# multiprocessing as mockup for missing frames
if random_frame_path is None:
random_frame_path = output_filepath
self.log.debug(
"Creating transparent images for frames without render {}.".format(
str(missing_frame_paths)
)
)
# Fill the sequence with transparent frames
transparent_filepath = None
for filepath in missing_frame_paths:
if transparent_filepath is None:
img_obj = Image.open(random_frame_path)
painter = ImageDraw.Draw(img_obj)
painter.rectangle((0, 0, *img_obj.size), fill=(0, 0, 0, 0))
img_obj.save(filepath)
transparent_filepath = filepath
else:
self._copy_image(transparent_filepath, filepath)
return output_filepaths
def _cleanup_tmp_files(self, files_by_position):
"""Remove temporary files that were used for compositing."""
for data in files_by_position.values():
for filepath in data.values():
if os.path.exists(filepath):
os.remove(filepath)
def _copy_image(self, src_path, dst_path):
"""Create a copy of an image.
This was added to be able easier change copy method.
"""
# Create hardlink of image instead of copying if possible
if hasattr(os, "link"):
os.link(src_path, dst_path)
else:
shutil.copy(src_path, dst_path)
return filepaths_by_frame

View file

@ -0,0 +1,21 @@
from .worker_job import (
JobFailed,
ExecuteSimpleGeorgeScript,
ExecuteGeorgeScript,
CollectSceneData,
SenderTVPaintCommands,
ProcessTVPaintCommands
)
from .worker import main
__all__ = (
"JobFailed",
"ExecuteSimpleGeorgeScript",
"ExecuteGeorgeScript",
"CollectSceneData",
"SenderTVPaintCommands",
"ProcessTVPaintCommands",
"main"
)

View file

@ -0,0 +1,133 @@
import signal
import time
import asyncio
from avalon.tvpaint.communication_server import (
BaseCommunicator,
CommunicationWrapper
)
from openpype_modules.job_queue.job_workers import WorkerJobsConnection
from .worker_job import ProcessTVPaintCommands
class TVPaintWorkerCommunicator(BaseCommunicator):
"""Modified commuicator which cares about processing jobs.
Received jobs are send to TVPaint by parsing 'ProcessTVPaintCommands'.
"""
def __init__(self, server_url):
super().__init__()
self.return_code = 1
self._server_url = server_url
self._worker_connection = None
def _start_webserver(self):
"""Create connection to workers server before TVPaint server."""
loop = self.websocket_server.loop
self._worker_connection = WorkerJobsConnection(
self._server_url, "tvpaint", loop
)
asyncio.ensure_future(
self._worker_connection.main_loop(register_worker=False),
loop=loop
)
super()._start_webserver()
def _on_client_connect(self, *args, **kwargs):
super()._on_client_connect(*args, **kwargs)
# Register as "ready to work" worker
self._worker_connection.register_as_worker()
def stop(self):
"""Stop worker connection and TVPaint server."""
self._worker_connection.stop()
self.return_code = 0
super().stop()
@property
def current_job(self):
"""Retrieve job which should be processed."""
if self._worker_connection:
return self._worker_connection.current_job
return None
def _check_process(self):
if self.process is None:
return True
if self.process.poll() is not None:
asyncio.ensure_future(
self._worker_connection.disconnect(),
loop=self.websocket_server.loop
)
self._exit()
return False
return True
def _process_job(self):
job = self.current_job
if job is None:
return
# Prepare variables used for sendig
success = False
message = "Unknown function"
data = None
job_data = job["data"]
workfile = job_data["workfile"]
# Currently can process only "commands" function
if job_data.get("function") == "commands":
try:
commands = ProcessTVPaintCommands(
workfile, job_data["commands"], self
)
commands.execute()
data = commands.response_data()
success = True
message = "Executed"
except Exception as exc:
message = "Error on worker: {}".format(str(exc))
self._worker_connection.finish_job(success, message, data)
def main_loop(self):
"""Main loop where jobs are processed.
Server is stopped by killing this process or TVPaint process.
"""
while self.server_is_running:
if self._check_process():
self._process_job()
time.sleep(1)
return self.return_code
def _start_tvpaint(tvpaint_executable_path, server_url):
communicator = TVPaintWorkerCommunicator(server_url)
CommunicationWrapper.set_communicator(communicator)
communicator.launch([tvpaint_executable_path])
def main(tvpaint_executable_path, server_url):
# Register terminal signal handler
def signal_handler(*_args):
print("Termination signal received. Stopping.")
if CommunicationWrapper.communicator is not None:
CommunicationWrapper.communicator.stop()
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
_start_tvpaint(tvpaint_executable_path, server_url)
communicator = CommunicationWrapper.communicator
if communicator is None:
print("Communicator is not set")
return 1
return communicator.main_loop()

View file

@ -0,0 +1,537 @@
import os
import tempfile
import inspect
import copy
import json
import time
from uuid import uuid4
from abc import ABCMeta, abstractmethod, abstractproperty
import six
from openpype.api import PypeLogger
from openpype.modules import ModulesManager
TMP_FILE_PREFIX = "opw_tvp_"
class JobFailed(Exception):
"""Raised when job was sent and finished unsuccessfully."""
def __init__(self, job_status):
job_state = job_status["state"]
job_message = job_status["message"] or "Unknown issue"
error_msg = (
"Job didn't finish properly."
" Job state: \"{}\" | Job message: \"{}\""
).format(job_state, job_message)
self.job_status = job_status
super().__init__(error_msg)
@six.add_metaclass(ABCMeta)
class BaseCommand:
"""Abstract TVPaint command which can be executed through worker.
Each command must have unique name and implemented 'execute' and
'from_existing' methods.
Command also have id which is created on command creation.
The idea is that command is just a data container on sender side send
througth server to a worker where is replicated one by one, executed and
result sent back to sender through server.
"""
@abstractproperty
def name(self):
"""Command name (must be unique)."""
pass
def __init__(self, data=None):
if data is None:
data = {}
else:
data = copy.deepcopy(data)
# Use 'id' from data when replicating on process side
command_id = data.get("id")
if command_id is None:
command_id = str(uuid4())
data["id"] = command_id
data["command"] = self.name
self._parent = None
self._result = None
self._command_data = data
self._done = False
def job_queue_root(self):
"""Access to job queue root.
Job queue root is shared access point to files shared across senders
and workers.
"""
if self._parent is None:
return None
return self._parent.job_queue_root()
def set_parent(self, parent):
self._parent = parent
@property
def id(self):
"""Command id."""
return self._command_data["id"]
@property
def parent(self):
"""Parent of command expected type of 'TVPaintCommands'."""
return self._parent
@property
def communicator(self):
"""TVPaint communicator.
Available only on worker side.
"""
return self._parent.communicator
@property
def done(self):
"""Is command done."""
return self._done
def set_done(self):
"""Change state of done."""
self._done = True
def set_result(self, result):
"""Set result of executed command."""
self._result = result
def result(self):
"""Result of command."""
return copy.deepcopy(self._result)
def response_data(self):
"""Data send as response to sender."""
return {
"id": self.id,
"result": self._result,
"done": self._done
}
def command_data(self):
"""Raw command data."""
return copy.deepcopy(self._command_data)
@abstractmethod
def execute(self):
"""Execute command on worker side."""
pass
@classmethod
@abstractmethod
def from_existing(cls, data):
"""Recreate object based on passed data."""
pass
def execute_george(self, george_script):
"""Execute george script in TVPaint."""
return self.parent.execute_george(george_script)
def execute_george_through_file(self, george_script):
"""Execute george script through temp file in TVPaint."""
return self.parent.execute_george_through_file(george_script)
class ExecuteSimpleGeorgeScript(BaseCommand):
"""Execute simple george script in TVPaint.
Args:
script(str): Script that will be executed.
"""
name = "execute_george_simple"
def __init__(self, script, data=None):
data = data or {}
data["script"] = script
self._script = script
super().__init__(data)
def execute(self):
self._result = self.execute_george(self._script)
@classmethod
def from_existing(cls, data):
script = data.pop("script")
return cls(script, data)
class ExecuteGeorgeScript(BaseCommand):
"""Execute multiline george script in TVPaint.
Args:
script_lines(list): Lines that will be executed in george script
through temp george file.
tmp_file_keys(list): List of formatting keys in george script that
require replacement with path to a temp file where result will be
stored. The content of file is stored to result by the key.
root_dir_key(str): Formatting key that will be replaced in george
script with job queue root which can be different on worker side.
data(dict): Raw data about command.
"""
name = "execute_george_through_file"
def __init__(
self, script_lines, tmp_file_keys=None, root_dir_key=None, data=None
):
data = data or {}
if not tmp_file_keys:
tmp_file_keys = data.get("tmp_file_keys") or []
data["script_lines"] = script_lines
data["tmp_file_keys"] = tmp_file_keys
data["root_dir_key"] = root_dir_key
self._script_lines = script_lines
self._tmp_file_keys = tmp_file_keys
self._root_dir_key = root_dir_key
super().__init__(data)
def execute(self):
filepath_by_key = {}
script = self._script_lines
if isinstance(script, list):
script = "\n".join(script)
# Replace temporary files in george script
for key in self._tmp_file_keys:
output_file = tempfile.NamedTemporaryFile(
mode="w", prefix=TMP_FILE_PREFIX, suffix=".txt", delete=False
)
output_file.close()
format_key = "{" + key + "}"
output_path = output_file.name.replace("\\", "/")
script = script.replace(format_key, output_path)
filepath_by_key[key] = output_path
# Replace job queue root in script
if self._root_dir_key:
job_queue_root = self.job_queue_root()
format_key = "{" + self._root_dir_key + "}"
script = script.replace(
format_key, job_queue_root.replace("\\", "/")
)
# Execute the script
self.execute_george_through_file(script)
# Store result of temporary files
result = {}
for key, filepath in filepath_by_key.items():
with open(filepath, "r") as stream:
data = stream.read()
result[key] = data
os.remove(filepath)
self._result = result
@classmethod
def from_existing(cls, data):
"""Recreate the object from data."""
script_lines = data.pop("script_lines")
tmp_file_keys = data.pop("tmp_file_keys", None)
root_dir_key = data.pop("root_dir_key", None)
return cls(script_lines, tmp_file_keys, root_dir_key, data)
class CollectSceneData(BaseCommand):
"""Helper command which will collect all usefull info about workfile.
Result is dictionary with all layers data, exposure frames by layer ids
pre/post behavior of layers by their ids, group information and scene data.
"""
name = "collect_scene_data"
def execute(self):
from avalon.tvpaint.lib import (
get_layers_data,
get_groups_data,
get_layers_pre_post_behavior,
get_layers_exposure_frames,
get_scene_data
)
groups_data = get_groups_data(communicator=self.communicator)
layers_data = get_layers_data(communicator=self.communicator)
layer_ids = [
layer_data["layer_id"]
for layer_data in layers_data
]
pre_post_beh_by_layer_id = get_layers_pre_post_behavior(
layer_ids, communicator=self.communicator
)
exposure_frames_by_layer_id = get_layers_exposure_frames(
layer_ids, layers_data, communicator=self.communicator
)
self._result = {
"layers_data": layers_data,
"exposure_frames_by_layer_id": exposure_frames_by_layer_id,
"pre_post_beh_by_layer_id": pre_post_beh_by_layer_id,
"groups_data": groups_data,
"scene_data": get_scene_data(self.communicator)
}
@classmethod
def from_existing(cls, data):
return cls(data)
@six.add_metaclass(ABCMeta)
class TVPaintCommands:
"""Wrapper around TVPaint commands to be able send multiple commands.
Commands may send one or multiple commands at once. Also gives api access
for commands info.
Base for sender and receiver which are extending the logic for their
purposes. One of differences is preparation of workfile path.
Args:
workfile(str): Path to workfile.
job_queue_module(JobQueueModule): Object of OpenPype module JobQueue.
"""
def __init__(self, workfile, job_queue_module=None):
self._log = None
self._commands = []
self._command_classes_by_name = None
if job_queue_module is None:
manager = ModulesManager()
job_queue_module = manager.modules_by_name["job_queue"]
self._job_queue_module = job_queue_module
self._workfile = self._prepare_workfile(workfile)
@abstractmethod
def _prepare_workfile(self, workfile):
"""Modification of workfile path on initialization to match platorm."""
pass
def job_queue_root(self):
"""Job queue root for current platform using current settings."""
return self._job_queue_module.get_jobs_root_from_settings()
@property
def log(self):
"""Access to logger object."""
if self._log is None:
self._log = PypeLogger.get_logger(self.__class__.__name__)
return self._log
@property
def classes_by_name(self):
"""Prepare commands classes for validation and recreation of commands.
It is expected that all commands are defined in this python file so
we're looking for all implementation of BaseCommand in globals.
"""
if self._command_classes_by_name is None:
command_classes_by_name = {}
for attr in globals().values():
if (
not inspect.isclass(attr)
or not issubclass(attr, BaseCommand)
or attr is BaseCommand
):
continue
if inspect.isabstract(attr):
self.log.debug(
"Skipping abstract class {}".format(attr.__name__)
)
command_classes_by_name[attr.name] = attr
self._command_classes_by_name = command_classes_by_name
return self._command_classes_by_name
def add_command(self, command):
"""Add command to process."""
command.set_parent(self)
self._commands.append(command)
def result(self):
"""Result of commands in list in which they were processed."""
return [
command.result()
for command in self._commands
]
def response_data(self):
"""Data which should be send from worker."""
return [
command.response_data()
for command in self._commands
]
class SenderTVPaintCommands(TVPaintCommands):
"""Sender implementation of TVPaint Commands."""
def _prepare_workfile(self, workfile):
"""Remove job queue root from workfile path.
It is expected that worker will add it's root before passed workfile.
"""
new_workfile = workfile.replace("\\", "/")
job_queue_root = self.job_queue_root().replace("\\", "/")
if job_queue_root not in new_workfile:
raise ValueError((
"Workfile is not located in JobQueue root."
" Workfile path: \"{}\". JobQueue root: \"{}\""
).format(workfile, job_queue_root))
return new_workfile.replace(job_queue_root, "")
def commands_data(self):
"""Commands data to be able recreate them."""
return [
command.command_data()
for command in self._commands
]
def to_job_data(self):
"""Convert commands to job data before sending to workers server."""
return {
"workfile": self._workfile,
"function": "commands",
"commands": self.commands_data()
}
def set_result(self, result):
commands_by_id = {
command.id: command
for command in self._commands
}
for item in result:
command = commands_by_id[item["id"]]
command.set_result(item["result"])
command.set_done()
def _send_job(self):
"""Send job to a workers server."""
# Send job data to job queue server
job_data = self.to_job_data()
self.log.debug("Sending job to JobQueue server.\n{}".format(
json.dumps(job_data, indent=4)
))
job_id = self._job_queue_module.send_job("tvpaint", job_data)
self.log.info((
"Job sent to JobQueue server and got id \"{}\"."
" Waiting for finishing the job."
).format(job_id))
return job_id
def send_job_and_wait(self):
"""Send job to workers server and wait for response.
Result of job is stored into the object.
Raises:
JobFailed: When job was finished but not successfully.
"""
job_id = self._send_job()
while True:
job_status = self._job_queue_module.get_job_status(job_id)
if job_status["done"]:
break
time.sleep(1)
# Check if job state is done
if job_status["state"] != "done":
raise JobFailed(job_status)
self.set_result(job_status["result"])
self.log.debug("Job is done and result is stored.")
class ProcessTVPaintCommands(TVPaintCommands):
"""Worker side of TVPaint Commands.
It is expected this object is created only on worker's side from existing
data loaded from job.
Workfile path logic is based on 'SenderTVPaintCommands'.
"""
def __init__(self, workfile, commands, communicator):
super(ProcessTVPaintCommands, self).__init__(workfile)
self._communicator = communicator
self.commands_from_data(commands)
def _prepare_workfile(self, workfile):
"""Preprend job queue root before passed workfile."""
workfile = workfile.replace("\\", "/")
job_queue_root = self.job_queue_root().replace("\\", "/")
new_workfile = "/".join([job_queue_root, workfile])
while "//" in new_workfile:
new_workfile = new_workfile.replace("//", "/")
return os.path.normpath(new_workfile)
@property
def communicator(self):
"""Access to TVPaint communicator."""
return self._communicator
def commands_from_data(self, commands_data):
"""Recreate command from passed data."""
for command_data in commands_data:
command_name = command_data["command"]
klass = self.classes_by_name[command_name]
command = klass.from_existing(command_data)
self.add_command(command)
def execute_george(self, george_script):
"""Helper method to execute george script."""
return self.communicator.execute_george(george_script)
def execute_george_through_file(self, george_script):
"""Helper method to execute george script through temp file."""
temporary_file = tempfile.NamedTemporaryFile(
mode="w", prefix=TMP_FILE_PREFIX, suffix=".grg", delete=False
)
temporary_file.write(george_script)
temporary_file.close()
temp_file_path = temporary_file.name.replace("\\", "/")
self.execute_george("tv_runscript {}".format(temp_file_path))
os.remove(temp_file_path)
def _open_workfile(self):
"""Open workfile in TVPaint."""
workfile = self._workfile
print("Opening workfile {}".format(workfile))
george_script = "tv_LoadProject '\"'\"{}\"'\"'".format(workfile)
self.execute_george_through_file(george_script)
def _close_workfile(self):
"""Close workfile in TVPaint."""
print("Closing workfile")
self.execute_george_through_file("tv_projectclose")
def execute(self):
"""Execute commands."""
# First open the workfile
self._open_workfile()
# Execute commands one by one
# TODO maybe stop processing when command fails?
print("Commands execution started ({})".format(len(self._commands)))
for command in self._commands:
command.execute()
command.set_done()
# Finally close workfile
self._close_workfile()

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"""
Requires:
CollectTVPaintWorkfileData
Provides:
Instances
"""
import os
import re
import copy
import pyblish.api
from openpype.lib import get_subset_name_with_asset_doc
class CollectTVPaintInstances(pyblish.api.ContextPlugin):
label = "Collect TVPaint Instances"
order = pyblish.api.CollectorOrder + 0.2
hosts = ["webpublisher"]
targets = ["tvpaint_worker"]
workfile_family = "workfile"
workfile_variant = ""
review_family = "review"
review_variant = "Main"
render_pass_family = "renderPass"
render_layer_family = "renderLayer"
render_layer_pass_name = "beauty"
# Set by settings
# Regex must constain 'layer' and 'variant' groups which are extracted from
# name when instances are created
layer_name_regex = r"(?P<layer>L[0-9]{3}_\w+)_(?P<pass>.+)"
def process(self, context):
# Prepare compiled regex
layer_name_regex = re.compile(self.layer_name_regex)
layers_data = context.data["layersData"]
host_name = "tvpaint"
task_name = context.data.get("task")
asset_doc = context.data["assetEntity"]
project_doc = context.data["projectEntity"]
project_name = project_doc["name"]
new_instances = []
# Workfile instance
workfile_subset_name = get_subset_name_with_asset_doc(
self.workfile_family,
self.workfile_variant,
task_name,
asset_doc,
project_name,
host_name
)
workfile_instance = self._create_workfile_instance(
context, workfile_subset_name
)
new_instances.append(workfile_instance)
# Review instance
review_subset_name = get_subset_name_with_asset_doc(
self.review_family,
self.review_variant,
task_name,
asset_doc,
project_name,
host_name
)
review_instance = self._create_review_instance(
context, review_subset_name
)
new_instances.append(review_instance)
# Get render layers and passes from TVPaint layers
# - it's based on regex extraction
layers_by_layer_and_pass = {}
for layer in layers_data:
# Filter only visible layers
if not layer["visible"]:
continue
result = layer_name_regex.search(layer["name"])
# Layer name not matching layer name regex
# should raise an exception?
if result is None:
continue
render_layer = result.group("layer")
render_pass = result.group("pass")
render_pass_maping = layers_by_layer_and_pass.get(
render_layer
)
if render_pass_maping is None:
render_pass_maping = {}
layers_by_layer_and_pass[render_layer] = render_pass_maping
if render_pass not in render_pass_maping:
render_pass_maping[render_pass] = []
render_pass_maping[render_pass].append(copy.deepcopy(layer))
layers_by_render_layer = {}
for render_layer, render_passes in layers_by_layer_and_pass.items():
render_layer_layers = []
layers_by_render_layer[render_layer] = render_layer_layers
for render_pass, layers in render_passes.items():
render_layer_layers.extend(copy.deepcopy(layers))
dynamic_data = {
"render_pass": render_pass,
"render_layer": render_layer,
# Override family for subset name
"family": "render"
}
subset_name = get_subset_name_with_asset_doc(
self.render_pass_family,
render_pass,
task_name,
asset_doc,
project_name,
host_name,
dynamic_data=dynamic_data
)
instance = self._create_render_pass_instance(
context, layers, subset_name
)
new_instances.append(instance)
for render_layer, layers in layers_by_render_layer.items():
variant = render_layer
dynamic_data = {
"render_pass": self.render_layer_pass_name,
"render_layer": render_layer,
# Override family for subset name
"family": "render"
}
subset_name = get_subset_name_with_asset_doc(
self.render_pass_family,
variant,
task_name,
asset_doc,
project_name,
host_name,
dynamic_data=dynamic_data
)
instance = self._create_render_layer_instance(
context, layers, subset_name
)
new_instances.append(instance)
# Set data same for all instances
frame_start = context.data.get("frameStart")
frame_end = context.data.get("frameEnd")
for instance in new_instances:
if (
instance.data.get("frameStart") is None
or instance.data.get("frameEnd") is None
):
instance.data["frameStart"] = frame_start
instance.data["frameEnd"] = frame_end
if instance.data.get("asset") is None:
instance.data["asset"] = asset_doc["name"]
if instance.data.get("task") is None:
instance.data["task"] = task_name
if "representations" not in instance.data:
instance.data["representations"] = []
if "source" not in instance.data:
instance.data["source"] = "webpublisher"
def _create_workfile_instance(self, context, subset_name):
workfile_path = context.data["workfilePath"]
staging_dir = os.path.dirname(workfile_path)
filename = os.path.basename(workfile_path)
ext = os.path.splitext(filename)[-1]
return context.create_instance(**{
"name": subset_name,
"label": subset_name,
"subset": subset_name,
"family": self.workfile_family,
"families": [],
"stagingDir": staging_dir,
"representations": [{
"name": ext.lstrip("."),
"ext": ext.lstrip("."),
"files": filename,
"stagingDir": staging_dir
}]
})
def _create_review_instance(self, context, subset_name):
staging_dir = self._create_staging_dir(context, subset_name)
layers_data = context.data["layersData"]
# Filter hidden layers
filtered_layers_data = [
copy.deepcopy(layer)
for layer in layers_data
if layer["visible"]
]
return context.create_instance(**{
"name": subset_name,
"label": subset_name,
"subset": subset_name,
"family": self.review_family,
"families": [],
"layers": filtered_layers_data,
"stagingDir": staging_dir
})
def _create_render_pass_instance(self, context, layers, subset_name):
staging_dir = self._create_staging_dir(context, subset_name)
# Global instance data modifications
# Fill families
return context.create_instance(**{
"name": subset_name,
"subset": subset_name,
"label": subset_name,
"family": self.render_pass_family,
# Add `review` family for thumbnail integration
"families": [self.render_pass_family, "review"],
"representations": [],
"layers": layers,
"stagingDir": staging_dir
})
def _create_render_layer_instance(self, context, layers, subset_name):
staging_dir = self._create_staging_dir(context, subset_name)
# Global instance data modifications
# Fill families
return context.create_instance(**{
"name": subset_name,
"subset": subset_name,
"label": subset_name,
"family": self.render_pass_family,
# Add `review` family for thumbnail integration
"families": [self.render_pass_family, "review"],
"representations": [],
"layers": layers,
"stagingDir": staging_dir
})
def _create_staging_dir(self, context, subset_name):
context_staging_dir = context.data["contextStagingDir"]
staging_dir = os.path.join(context_staging_dir, subset_name)
if not os.path.exists(staging_dir):
os.makedirs(staging_dir)
return staging_dir

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"""
Requires:
CollectPublishedFiles
CollectModules
Provides:
workfilePath - Path to tvpaint workfile
sceneData - Scene data loaded from the workfile
groupsData -
layersData
layersExposureFrames
layersPrePostBehavior
"""
import os
import uuid
import json
import shutil
import pyblish.api
from openpype.lib.plugin_tools import parse_json
from openpype.hosts.tvpaint.worker import (
SenderTVPaintCommands,
CollectSceneData
)
class CollectTVPaintWorkfileData(pyblish.api.ContextPlugin):
label = "Collect TVPaint Workfile data"
order = pyblish.api.CollectorOrder - 0.4
hosts = ["webpublisher"]
targets = ["tvpaint_worker"]
def process(self, context):
# Get JobQueue module
modules = context.data["openPypeModules"]
job_queue_module = modules["job_queue"]
jobs_root = job_queue_module.get_jobs_root()
if not jobs_root:
raise ValueError("Job Queue root is not set.")
context.data["jobsRoot"] = jobs_root
context_staging_dir = self._create_context_staging_dir(jobs_root)
workfile_path = self._extract_workfile_path(
context, context_staging_dir
)
context.data["contextStagingDir"] = context_staging_dir
context.data["workfilePath"] = workfile_path
# Prepare tvpaint command
collect_scene_data_command = CollectSceneData()
# Create TVPaint sender commands
commands = SenderTVPaintCommands(workfile_path, job_queue_module)
commands.add_command(collect_scene_data_command)
# Send job and wait for answer
commands.send_job_and_wait()
collected_data = collect_scene_data_command.result()
layers_data = collected_data["layers_data"]
groups_data = collected_data["groups_data"]
scene_data = collected_data["scene_data"]
exposure_frames_by_layer_id = (
collected_data["exposure_frames_by_layer_id"]
)
pre_post_beh_by_layer_id = (
collected_data["pre_post_beh_by_layer_id"]
)
# Store results
# scene data store the same way as TVPaint collector
scene_data = {
"sceneWidth": scene_data["width"],
"sceneHeight": scene_data["height"],
"scenePixelAspect": scene_data["pixel_aspect"],
"sceneFps": scene_data["fps"],
"sceneFieldOrder": scene_data["field_order"],
"sceneMarkIn": scene_data["mark_in"],
# scene_data["mark_in_state"],
"sceneMarkInState": scene_data["mark_in_set"],
"sceneMarkOut": scene_data["mark_out"],
# scene_data["mark_out_state"],
"sceneMarkOutState": scene_data["mark_out_set"],
"sceneStartFrame": scene_data["start_frame"],
"sceneBgColor": scene_data["bg_color"]
}
context.data["sceneData"] = scene_data
# Store only raw data
context.data["groupsData"] = groups_data
context.data["layersData"] = layers_data
context.data["layersExposureFrames"] = exposure_frames_by_layer_id
context.data["layersPrePostBehavior"] = pre_post_beh_by_layer_id
self.log.debug(
(
"Collected data"
"\nScene data: {}"
"\nLayers data: {}"
"\nExposure frames: {}"
"\nPre/Post behavior: {}"
).format(
json.dumps(scene_data, indent=4),
json.dumps(layers_data, indent=4),
json.dumps(exposure_frames_by_layer_id, indent=4),
json.dumps(pre_post_beh_by_layer_id, indent=4)
)
)
def _create_context_staging_dir(self, jobs_root):
if not os.path.exists(jobs_root):
os.makedirs(jobs_root)
random_folder_name = str(uuid.uuid4())
full_path = os.path.join(jobs_root, random_folder_name)
if not os.path.exists(full_path):
os.makedirs(full_path)
return full_path
def _extract_workfile_path(self, context, context_staging_dir):
"""Find first TVPaint file in tasks and use it."""
batch_dir = context.data["batchDir"]
batch_data = context.data["batchData"]
src_workfile_path = None
for task_id in batch_data["tasks"]:
if src_workfile_path is not None:
break
task_dir = os.path.join(batch_dir, task_id)
task_manifest_path = os.path.join(task_dir, "manifest.json")
task_data = parse_json(task_manifest_path)
task_files = task_data["files"]
for filename in task_files:
_, ext = os.path.splitext(filename)
if ext.lower() == ".tvpp":
src_workfile_path = os.path.join(task_dir, filename)
break
# Copy workfile to job queue work root
new_workfile_path = os.path.join(
context_staging_dir, os.path.basename(src_workfile_path)
)
shutil.copy(src_workfile_path, new_workfile_path)
return new_workfile_path

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import os
import copy
from openpype.hosts.tvpaint.worker import (
SenderTVPaintCommands,
ExecuteSimpleGeorgeScript,
ExecuteGeorgeScript
)
import pyblish.api
from openpype.hosts.tvpaint.lib import (
calculate_layers_extraction_data,
get_frame_filename_template,
fill_reference_frames,
composite_rendered_layers,
rename_filepaths_by_frame_start
)
from PIL import Image
class ExtractTVPaintSequences(pyblish.api.Extractor):
label = "Extract TVPaint Sequences"
hosts = ["webpublisher"]
targets = ["tvpaint_worker"]
# Context plugin does not have families filtering
families_filter = ["review", "renderPass", "renderLayer"]
job_queue_root_key = "jobs_root"
# Modifiable with settings
review_bg = [255, 255, 255, 255]
def process(self, context):
# Get workfle path
workfile_path = context.data["workfilePath"]
jobs_root = context.data["jobsRoot"]
jobs_root_slashed = jobs_root.replace("\\", "/")
# Prepare scene data
scene_data = context.data["sceneData"]
scene_mark_in = scene_data["sceneMarkIn"]
scene_mark_out = scene_data["sceneMarkOut"]
scene_start_frame = scene_data["sceneStartFrame"]
scene_bg_color = scene_data["sceneBgColor"]
# Prepare layers behavior
behavior_by_layer_id = context.data["layersPrePostBehavior"]
exposure_frames_by_layer_id = context.data["layersExposureFrames"]
# Handles are not stored per instance but on Context
handle_start = context.data["handleStart"]
handle_end = context.data["handleEnd"]
# Get JobQueue module
modules = context.data["openPypeModules"]
job_queue_module = modules["job_queue"]
tvpaint_commands = SenderTVPaintCommands(
workfile_path, job_queue_module
)
# Change scene Start Frame to 0 to prevent frame index issues
# - issue is that TVPaint versions deal with frame indexes in a
# different way when Start Frame is not `0`
# NOTE It will be set back after rendering
tvpaint_commands.add_command(
ExecuteSimpleGeorgeScript("tv_startframe 0")
)
root_key_replacement = "{" + self.job_queue_root_key + "}"
after_render_instances = []
for instance in context:
instance_families = set(instance.data.get("families", []))
instance_families.add(instance.data["family"])
valid = False
for family in instance_families:
if family in self.families_filter:
valid = True
break
if not valid:
continue
self.log.info("* Preparing commands for instance \"{}\"".format(
instance.data["label"]
))
# Get all layers and filter out not visible
layers = instance.data["layers"]
filtered_layers = [layer for layer in layers if layer["visible"]]
if not filtered_layers:
self.log.info(
"None of the layers from the instance"
" are visible. Extraction skipped."
)
continue
joined_layer_names = ", ".join([
"\"{}\"".format(str(layer["name"]))
for layer in filtered_layers
])
self.log.debug(
"Instance has {} layers with names: {}".format(
len(filtered_layers), joined_layer_names
)
)
# Staging dir must be created during collection
staging_dir = instance.data["stagingDir"].replace("\\", "/")
job_root_template = staging_dir.replace(
jobs_root_slashed, root_key_replacement
)
# Frame start/end may be stored as float
frame_start = int(instance.data["frameStart"])
frame_end = int(instance.data["frameEnd"])
# Prepare output frames
output_frame_start = frame_start - handle_start
output_frame_end = frame_end + handle_end
# Change output frame start to 0 if handles cause it's negative
# number
if output_frame_start < 0:
self.log.warning((
"Frame start with handles has negative value."
" Changed to \"0\". Frames start: {}, Handle Start: {}"
).format(frame_start, handle_start))
output_frame_start = 0
# Create copy of scene Mark In/Out
mark_in, mark_out = scene_mark_in, scene_mark_out
# Fix possible changes of output frame
mark_out, output_frame_end = self._fix_range_changes(
mark_in, mark_out, output_frame_start, output_frame_end
)
filename_template = get_frame_filename_template(
max(scene_mark_out, output_frame_end)
)
# -----------------------------------------------------------------
self.log.debug(
"Files will be rendered to folder: {}".format(staging_dir)
)
output_filepaths_by_frame_idx = {}
for frame_idx in range(mark_in, mark_out + 1):
filename = filename_template.format(frame=frame_idx)
filepath = os.path.join(staging_dir, filename)
output_filepaths_by_frame_idx[frame_idx] = filepath
# Prepare data for post render processing
post_render_data = {
"output_dir": staging_dir,
"layers": filtered_layers,
"output_filepaths_by_frame_idx": output_filepaths_by_frame_idx,
"instance": instance,
"is_layers_render": False,
"output_frame_start": output_frame_start,
"output_frame_end": output_frame_end
}
# Store them to list
after_render_instances.append(post_render_data)
# Review rendering
if instance.data["family"] == "review":
self.add_render_review_command(
tvpaint_commands, mark_in, mark_out, scene_bg_color,
job_root_template, filename_template
)
continue
# Layers rendering
extraction_data_by_layer_id = calculate_layers_extraction_data(
filtered_layers,
exposure_frames_by_layer_id,
behavior_by_layer_id,
mark_in,
mark_out
)
filepaths_by_layer_id = self.add_render_command(
tvpaint_commands,
job_root_template,
staging_dir,
filtered_layers,
extraction_data_by_layer_id
)
# Add more data to post render processing
post_render_data.update({
"is_layers_render": True,
"extraction_data_by_layer_id": extraction_data_by_layer_id,
"filepaths_by_layer_id": filepaths_by_layer_id
})
# Change scene frame Start back to previous value
tvpaint_commands.add_command(
ExecuteSimpleGeorgeScript(
"tv_startframe {}".format(scene_start_frame)
)
)
self.log.info("Sending the job and waiting for response...")
tvpaint_commands.send_job_and_wait()
self.log.info("Render job finished")
for post_render_data in after_render_instances:
self._post_render_processing(post_render_data, mark_in, mark_out)
def _fix_range_changes(
self, mark_in, mark_out, output_frame_start, output_frame_end
):
# Check Marks range and output range
output_range = output_frame_end - output_frame_start
marks_range = mark_out - mark_in
# Lower Mark Out if mark range is bigger than output
# - do not rendered not used frames
if output_range < marks_range:
new_mark_out = mark_out - (marks_range - output_range)
self.log.warning((
"Lowering render range to {} frames. Changed Mark Out {} -> {}"
).format(marks_range + 1, mark_out, new_mark_out))
# Assign new mark out to variable
mark_out = new_mark_out
# Lower output frame end so representation has right `frameEnd` value
elif output_range > marks_range:
new_output_frame_end = (
output_frame_end - (output_range - marks_range)
)
self.log.warning((
"Lowering representation range to {} frames."
" Changed frame end {} -> {}"
).format(output_range + 1, mark_out, new_output_frame_end))
output_frame_end = new_output_frame_end
return mark_out, output_frame_end
def _post_render_processing(self, post_render_data, mark_in, mark_out):
# Unpack values
instance = post_render_data["instance"]
output_filepaths_by_frame_idx = (
post_render_data["output_filepaths_by_frame_idx"]
)
is_layers_render = post_render_data["is_layers_render"]
output_dir = post_render_data["output_dir"]
layers = post_render_data["layers"]
output_frame_start = post_render_data["output_frame_start"]
output_frame_end = post_render_data["output_frame_end"]
# Trigger post processing of layers rendering
# - only few frames were rendered this will complete the sequence
# - multiple layers can be in single instance they must be composite
# over each other
if is_layers_render:
self._finish_layer_render(
layers,
post_render_data["extraction_data_by_layer_id"],
post_render_data["filepaths_by_layer_id"],
mark_in,
mark_out,
output_filepaths_by_frame_idx
)
# Create thumbnail
thumbnail_filepath = os.path.join(output_dir, "thumbnail.jpg")
thumbnail_src_path = output_filepaths_by_frame_idx[mark_in]
self._create_thumbnail(thumbnail_src_path, thumbnail_filepath)
# Rename filepaths to final frames
repre_files = self._rename_output_files(
output_filepaths_by_frame_idx,
mark_in,
mark_out,
output_frame_start
)
# Fill tags and new families
family_lowered = instance.data["family"].lower()
tags = []
if family_lowered in ("review", "renderlayer"):
tags.append("review")
# Sequence of one frame
single_file = len(repre_files) == 1
if single_file:
repre_files = repre_files[0]
# Extension is harcoded
# - changing extension would require change code
new_repre = {
"name": "png",
"ext": "png",
"files": repre_files,
"stagingDir": output_dir,
"tags": tags
}
if not single_file:
new_repre["frameStart"] = output_frame_start
new_repre["frameEnd"] = output_frame_end
self.log.debug("Creating new representation: {}".format(new_repre))
instance.data["representations"].append(new_repre)
if family_lowered in ("renderpass", "renderlayer"):
# Change family to render
instance.data["family"] = "render"
thumbnail_ext = os.path.splitext(thumbnail_filepath)[1]
# Create thumbnail representation
thumbnail_repre = {
"name": "thumbnail",
"ext": thumbnail_ext.replace(".", ""),
"outputName": "thumb",
"files": os.path.basename(thumbnail_filepath),
"stagingDir": output_dir,
"tags": ["thumbnail"]
}
instance.data["representations"].append(thumbnail_repre)
def _rename_output_files(
self, filepaths_by_frame, mark_in, mark_out, output_frame_start
):
new_filepaths_by_frame = rename_filepaths_by_frame_start(
filepaths_by_frame, mark_in, mark_out, output_frame_start
)
repre_filenames = []
for filepath in new_filepaths_by_frame.values():
repre_filenames.append(os.path.basename(filepath))
if mark_in < output_frame_start:
repre_filenames = list(reversed(repre_filenames))
return repre_filenames
def add_render_review_command(
self,
tvpaint_commands,
mark_in,
mark_out,
scene_bg_color,
job_root_template,
filename_template
):
""" Export images from TVPaint using `tv_savesequence` command.
Args:
output_dir (str): Directory where files will be stored.
mark_in (int): Starting frame index from which export will begin.
mark_out (int): On which frame index export will end.
scene_bg_color (list): Bg color set in scene. Result of george
script command `tv_background`.
"""
self.log.debug("Preparing data for rendering.")
bg_color = self._get_review_bg_color()
first_frame_filepath = "/".join([
job_root_template,
filename_template.format(frame=mark_in)
])
george_script_lines = [
# Change bg color to color from settings
"tv_background \"color\" {} {} {}".format(*bg_color),
"tv_SaveMode \"PNG\"",
"export_path = \"{}\"".format(
first_frame_filepath.replace("\\", "/")
),
"tv_savesequence '\"'export_path'\"' {} {}".format(
mark_in, mark_out
)
]
if scene_bg_color:
# Change bg color back to previous scene bg color
_scene_bg_color = copy.deepcopy(scene_bg_color)
bg_type = _scene_bg_color.pop(0)
orig_color_command = [
"tv_background",
"\"{}\"".format(bg_type)
]
orig_color_command.extend(_scene_bg_color)
george_script_lines.append(" ".join(orig_color_command))
tvpaint_commands.add_command(
ExecuteGeorgeScript(
george_script_lines,
root_dir_key=self.job_queue_root_key
)
)
def add_render_command(
self,
tvpaint_commands,
job_root_template,
staging_dir,
layers,
extraction_data_by_layer_id
):
""" Export images from TVPaint.
Args:
output_dir (str): Directory where files will be stored.
mark_in (int): Starting frame index from which export will begin.
mark_out (int): On which frame index export will end.
layers (list): List of layers to be exported.
Retruns:
tuple: With 2 items first is list of filenames second is path to
thumbnail.
"""
# Map layers by position
layers_by_id = {
layer["layer_id"]: layer
for layer in layers
}
# Render layers
filepaths_by_layer_id = {}
for layer_id, render_data in extraction_data_by_layer_id.items():
layer = layers_by_id[layer_id]
frame_references = render_data["frame_references"]
filenames_by_frame_index = render_data["filenames_by_frame_index"]
filepaths_by_frame = {}
command_filepath_by_frame = {}
for frame_idx, ref_idx in frame_references.items():
# None reference is skipped because does not have source
if ref_idx is None:
filepaths_by_frame[frame_idx] = None
continue
filename = filenames_by_frame_index[frame_idx]
filepaths_by_frame[frame_idx] = os.path.join(
staging_dir, filename
)
if frame_idx == ref_idx:
command_filepath_by_frame[frame_idx] = "/".join(
[job_root_template, filename]
)
self._add_render_layer_command(
tvpaint_commands, layer, command_filepath_by_frame
)
filepaths_by_layer_id[layer_id] = filepaths_by_frame
return filepaths_by_layer_id
def _add_render_layer_command(
self, tvpaint_commands, layer, filepaths_by_frame
):
george_script_lines = [
# Set current layer by position
"tv_layergetid {}".format(layer["position"]),
"layer_id = result",
"tv_layerset layer_id",
"tv_SaveMode \"PNG\""
]
for frame_idx, filepath in filepaths_by_frame.items():
if filepath is None:
continue
# Go to frame
george_script_lines.append("tv_layerImage {}".format(frame_idx))
# Store image to output
george_script_lines.append(
"tv_saveimage \"{}\"".format(filepath.replace("\\", "/"))
)
tvpaint_commands.add_command(
ExecuteGeorgeScript(
george_script_lines,
root_dir_key=self.job_queue_root_key
)
)
def _finish_layer_render(
self,
layers,
extraction_data_by_layer_id,
filepaths_by_layer_id,
mark_in,
mark_out,
output_filepaths_by_frame_idx
):
# Fill frames between `frame_start_index` and `frame_end_index`
self.log.debug("Filling frames not rendered frames.")
for layer_id, render_data in extraction_data_by_layer_id.items():
frame_references = render_data["frame_references"]
filepaths_by_frame = filepaths_by_layer_id[layer_id]
fill_reference_frames(frame_references, filepaths_by_frame)
# Prepare final filepaths where compositing should store result
self.log.info("Started compositing of layer frames.")
composite_rendered_layers(
layers, filepaths_by_layer_id,
mark_in, mark_out,
output_filepaths_by_frame_idx
)
def _create_thumbnail(self, thumbnail_src_path, thumbnail_filepath):
if not os.path.exists(thumbnail_src_path):
return
source_img = Image.open(thumbnail_src_path)
# Composite background only on rgba images
# - just making sure
if source_img.mode.lower() == "rgba":
bg_color = self._get_review_bg_color()
self.log.debug("Adding thumbnail background color {}.".format(
" ".join([str(val) for val in bg_color])
))
bg_image = Image.new("RGBA", source_img.size, bg_color)
thumbnail_obj = Image.alpha_composite(bg_image, source_img)
thumbnail_obj.convert("RGB").save(thumbnail_filepath)
else:
self.log.info((
"Source for thumbnail has mode \"{}\" (Expected: RGBA)."
" Can't use thubmanail background color."
).format(source_img.mode))
source_img.save(thumbnail_filepath)
def _get_review_bg_color(self):
red = green = blue = 255
if self.review_bg:
if len(self.review_bg) == 4:
red, green, blue, _ = self.review_bg
elif len(self.review_bg) == 3:
red, green, blue = self.review_bg
return (red, green, blue)

View file

@ -0,0 +1,31 @@
# -*- coding: utf-8 -*-
"""Cleanup leftover files from publish."""
import os
import shutil
import pyblish.api
class CleanUpJobRoot(pyblish.api.ContextPlugin):
"""Cleans up the job root directory after a successful publish.
Remove all files in job root as all of them should be published.
"""
order = pyblish.api.IntegratorOrder + 1
label = "Clean Up Job Root"
optional = True
active = True
def process(self, context):
context_staging_dir = context.data.get("contextStagingDir")
if not context_staging_dir:
self.log.info("Key 'contextStagingDir' is empty.")
elif not os.path.exists(context_staging_dir):
self.log.info((
"Job root directory for this publish does not"
" exists anymore \"{}\"."
).format(context_staging_dir))
else:
self.log.info("Deleting job root with all files.")
shutil.rmtree(context_staging_dir)

View file

@ -0,0 +1,35 @@
import pyblish.api
class ValidateWorkfileData(pyblish.api.ContextPlugin):
"""Validate mark in and out are enabled and it's duration.
Mark In/Out does not have to match frameStart and frameEnd but duration is
important.
"""
label = "Validate Workfile Data"
order = pyblish.api.ValidatorOrder
def process(self, context):
# Data collected in `CollectAvalonEntities`
frame_start = context.data["frameStart"]
frame_end = context.data["frameEnd"]
handle_start = context.data["handleStart"]
handle_end = context.data["handleEnd"]
scene_data = context.data["sceneData"]
scene_mark_in = scene_data["sceneMarkIn"]
scene_mark_out = scene_data["sceneMarkOut"]
expected_range = (
(frame_end - frame_start + 1)
+ handle_start
+ handle_end
)
marks_range = scene_mark_out - scene_mark_in + 1
if expected_range != marks_range:
raise AssertionError((
"Wrong Mark In/Out range."
" Expected range is {} frames got {} frames"
).format(expected_range, marks_range))

View file

@ -198,6 +198,15 @@ class WebpublisherBatchPublishEndpoint(_RestApiEndpoint):
# - filter defines command and can extend arguments dictionary
# This is used only if 'studio_processing' is enabled on batch
studio_processing_filters = [
# TVPaint filter
{
"extensions": [".tvpp"],
"command": "remotepublish",
"arguments": {
"targets": ["tvpaint_worker"]
},
"add_to_queue": False
},
# Photoshop filter
{
"extensions": [".psd", ".psb"],

View file

@ -27,7 +27,7 @@ class CollectUsername(pyblish.api.ContextPlugin):
order = pyblish.api.CollectorOrder - 0.488
label = "Collect ftrack username"
hosts = ["webpublisher", "photoshop"]
targets = ["remotepublish", "filespublish"]
targets = ["remotepublish", "filespublish", "tvpaint_worker"]
_context = None

View file

@ -0,0 +1,6 @@
from .module import JobQueueModule
__all__ = (
"JobQueueModule",
)

View file

@ -0,0 +1,8 @@
from .server import WebServerManager
from .utils import main
__all__ = (
"WebServerManager",
"main"
)

View file

@ -0,0 +1,62 @@
import json
from aiohttp.web_response import Response
class JobQueueResource:
def __init__(self, job_queue, server_manager):
self.server_manager = server_manager
self._prefix = "/api"
self._job_queue = job_queue
self.endpoint_defs = (
("POST", "/jobs", self.post_job),
("GET", "/jobs", self.get_jobs),
("GET", "/jobs/{job_id}", self.get_job)
)
self.register()
def register(self):
for methods, url, callback in self.endpoint_defs:
final_url = self._prefix + url
self.server_manager.add_route(
methods, final_url, callback
)
async def get_jobs(self, request):
jobs_data = []
for job in self._job_queue.get_jobs():
jobs_data.append(job.status())
return Response(status=200, body=self.encode(jobs_data))
async def post_job(self, request):
data = await request.json()
host_name = data.get("host_name")
if not host_name:
return Response(
status=400, message="Key \"host_name\" not filled."
)
job = self._job_queue.create_job(host_name, data)
return Response(status=201, text=job.id)
async def get_job(self, request):
job_id = request.match_info["job_id"]
content = self._job_queue.get_job_status(job_id)
if content is None:
content = {}
return Response(
status=200,
body=self.encode(content),
content_type="application/json"
)
@classmethod
def encode(cls, data):
return json.dumps(
data,
indent=4
).encode("utf-8")

View file

@ -0,0 +1,240 @@
import datetime
import collections
from uuid import uuid4
class Job:
"""Job related to specific host name.
Data must contain everything needed to finish the job.
"""
# Remove done jobs each n days to clear memory
keep_in_memory_days = 3
def __init__(self, host_name, data, job_id=None, created_time=None):
if job_id is None:
job_id = str(uuid4())
self._id = job_id
if created_time is None:
created_time = datetime.datetime.now()
self._created_time = created_time
self._started_time = None
self._done_time = None
self.host_name = host_name
self.data = data
self._result_data = None
self._started = False
self._done = False
self._errored = False
self._message = None
self._deleted = False
self._worker = None
def keep_in_memory(self):
if self._done_time is None:
return True
now = datetime.datetime.now()
delta = now - self._done_time
return delta.days < self.keep_in_memory_days
@property
def id(self):
return self._id
@property
def done(self):
return self._done
def reset(self):
self._started = False
self._started_time = None
self._done = False
self._done_time = None
self._errored = False
self._message = None
self._worker = None
@property
def started(self):
return self._started
@property
def deleted(self):
return self._deleted
def set_deleted(self):
self._deleted = True
self.set_worker(None)
def set_worker(self, worker):
if worker is self._worker:
return
if self._worker is not None:
self._worker.set_current_job(None)
self._worker = worker
if worker is not None:
worker.set_current_job(self)
def set_started(self):
self._started_time = datetime.datetime.now()
self._started = True
def set_done(self, success=True, message=None, data=None):
self._done = True
self._done_time = datetime.datetime.now()
self._errored = not success
self._message = message
self._result_data = data
if self._worker is not None:
self._worker.set_current_job(None)
def status(self):
worker_id = None
if self._worker is not None:
worker_id = self._worker.id
output = {
"id": self.id,
"worker_id": worker_id,
"done": self._done
}
output["message"] = self._message or None
state = "waiting"
if self._deleted:
state = "deleted"
elif self._errored:
state = "error"
elif self._done:
state = "done"
elif self._started:
state = "started"
output["result"] = self._result_data
output["state"] = state
return output
class JobQueue:
"""Queue holds jobs that should be done and workers that can do them.
Also asign jobs to a worker.
"""
old_jobs_check_minutes_interval = 30
def __init__(self):
self._last_old_jobs_check = datetime.datetime.now()
self._jobs_by_id = {}
self._job_queue_by_host_name = collections.defaultdict(
collections.deque
)
self._workers_by_id = {}
self._workers_by_host_name = collections.defaultdict(list)
def workers(self):
"""All currently registered workers."""
return self._workers_by_id.values()
def add_worker(self, worker):
host_name = worker.host_name
print("Added new worker for \"{}\"".format(host_name))
self._workers_by_id[worker.id] = worker
self._workers_by_host_name[host_name].append(worker)
def get_worker(self, worker_id):
return self._workers_by_id.get(worker_id)
def remove_worker(self, worker):
# Look if worker had assigned job to do
job = worker.current_job
if job is not None and not job.done:
# Reset job
job.set_worker(None)
job.reset()
# Add job back to queue
self._job_queue_by_host_name[job.host_name].appendleft(job)
# Remove worker from registered workers
self._workers_by_id.pop(worker.id, None)
host_name = worker.host_name
if worker in self._workers_by_host_name[host_name]:
self._workers_by_host_name[host_name].remove(worker)
print("Removed worker for \"{}\"".format(host_name))
def assign_jobs(self):
"""Try to assign job for each idle worker.
Error all jobs without needed worker.
"""
available_host_names = set()
for worker in self._workers_by_id.values():
host_name = worker.host_name
available_host_names.add(host_name)
if worker.is_idle():
jobs = self._job_queue_by_host_name[host_name]
while jobs:
job = jobs.popleft()
if not job.deleted:
worker.set_current_job(job)
break
for host_name in tuple(self._job_queue_by_host_name.keys()):
if host_name in available_host_names:
continue
jobs_deque = self._job_queue_by_host_name[host_name]
message = ("Not available workers for \"{}\"").format(host_name)
while jobs_deque:
job = jobs_deque.popleft()
if not job.deleted:
job.set_done(False, message)
self._remove_old_jobs()
def get_jobs(self):
return self._jobs_by_id.values()
def get_job(self, job_id):
"""Job by it's id."""
return self._jobs_by_id.get(job_id)
def create_job(self, host_name, job_data):
"""Create new job from passed data and add it to queue."""
job = Job(host_name, job_data)
self._jobs_by_id[job.id] = job
self._job_queue_by_host_name[host_name].append(job)
return job
def _remove_old_jobs(self):
"""Once in specific time look if should remove old finished jobs."""
delta = datetime.datetime.now() - self._last_old_jobs_check
if delta.seconds < self.old_jobs_check_minutes_interval:
return
for job_id in tuple(self._jobs_by_id.keys()):
job = self._jobs_by_id[job_id]
if not job.keep_in_memory():
self._jobs_by_id.pop(job_id)
def remove_job(self, job_id):
"""Delete job and eventually stop it."""
job = self._jobs_by_id.get(job_id)
if job is None:
return
job.set_deleted()
self._jobs_by_id.pop(job.id)
def get_job_status(self, job_id):
"""Job's status based on id."""
job = self._jobs_by_id.get(job_id)
if job is None:
return {}
return job.status()

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@ -0,0 +1,154 @@
import threading
import asyncio
import logging
from aiohttp import web
from .jobs import JobQueue
from .job_queue_route import JobQueueResource
from .workers_rpc_route import WorkerRpc
log = logging.getLogger(__name__)
class WebServerManager:
"""Manger that care about web server thread."""
def __init__(self, port, host, loop=None):
self.port = port
self.host = host
self.app = web.Application()
if loop is None:
loop = asyncio.new_event_loop()
# add route with multiple methods for single "external app"
self.webserver_thread = WebServerThread(self, loop)
@property
def url(self):
return "http://{}:{}".format(self.host, self.port)
def add_route(self, *args, **kwargs):
self.app.router.add_route(*args, **kwargs)
def add_static(self, *args, **kwargs):
self.app.router.add_static(*args, **kwargs)
def start_server(self):
if self.webserver_thread and not self.webserver_thread.is_alive():
self.webserver_thread.start()
def stop_server(self):
if not self.is_running:
return
try:
log.debug("Stopping Web server")
self.webserver_thread.stop()
except Exception as exc:
print("Errored", str(exc))
log.warning(
"Error has happened during Killing Web server",
exc_info=True
)
@property
def is_running(self):
if self.webserver_thread is not None:
return self.webserver_thread.is_running
return False
class WebServerThread(threading.Thread):
""" Listener for requests in thread."""
def __init__(self, manager, loop):
super(WebServerThread, self).__init__()
self._is_running = False
self._stopped = False
self.manager = manager
self.loop = loop
self.runner = None
self.site = None
job_queue = JobQueue()
self.job_queue_route = JobQueueResource(job_queue, manager)
self.workers_route = WorkerRpc(job_queue, manager, loop=loop)
@property
def port(self):
return self.manager.port
@property
def host(self):
return self.manager.host
@property
def stopped(self):
return self._stopped
@property
def is_running(self):
return self._is_running
def run(self):
self._is_running = True
try:
log.info("Starting WebServer server")
asyncio.set_event_loop(self.loop)
self.loop.run_until_complete(self.start_server())
asyncio.ensure_future(self.check_shutdown(), loop=self.loop)
self.loop.run_forever()
except Exception:
log.warning(
"Web Server service has failed", exc_info=True
)
finally:
self.loop.close()
self._is_running = False
log.info("Web server stopped")
async def start_server(self):
""" Starts runner and TCPsite """
self.runner = web.AppRunner(self.manager.app)
await self.runner.setup()
self.site = web.TCPSite(self.runner, self.host, self.port)
await self.site.start()
def stop(self):
"""Sets _stopped flag to True, 'check_shutdown' shuts server down"""
self._stopped = True
async def check_shutdown(self):
""" Future that is running and checks if server should be running
periodically.
"""
while not self._stopped:
await asyncio.sleep(0.5)
print("Starting shutdown")
if self.workers_route:
await self.workers_route.stop()
print("Stopping site")
await self.site.stop()
print("Site stopped")
await self.runner.cleanup()
print("Runner stopped")
tasks = [
task
for task in asyncio.all_tasks()
if task is not asyncio.current_task()
]
list(map(lambda task: task.cancel(), tasks)) # cancel all the tasks
results = await asyncio.gather(*tasks, return_exceptions=True)
log.debug(f'Finished awaiting cancelled tasks, results: {results}...')
await self.loop.shutdown_asyncgens()
# to really make sure everything else has time to stop
await asyncio.sleep(0.07)
self.loop.stop()

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@ -0,0 +1,51 @@
import sys
import signal
import time
import socket
from .server import WebServerManager
class SharedObjects:
stopped = False
@classmethod
def stop(cls):
cls.stopped = True
def main(port=None, host=None):
def signal_handler(sig, frame):
print("Signal to kill process received. Termination starts.")
SharedObjects.stop()
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
port = int(port or 8079)
host = str(host or "localhost")
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as con:
result_of_check = con.connect_ex((host, port))
if result_of_check == 0:
print((
"Server {}:{} is already running or address is occupied."
).format(host, port))
return 1
print("Running server {}:{}".format(host, port))
manager = WebServerManager(port, host)
manager.start_server()
stopped = False
while manager.is_running:
if not stopped and SharedObjects.stopped:
stopped = True
manager.stop_server()
time.sleep(0.1)
return 0
if __name__ == "__main__":
sys.exit(main())

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@ -0,0 +1,122 @@
import asyncio
from uuid import uuid4
from aiohttp import WSCloseCode
from aiohttp_json_rpc.protocol import encode_request
class WorkerState:
IDLE = object()
JOB_ASSIGNED = object()
JOB_SENT = object()
class Worker:
"""Worker that can handle jobs of specific host."""
def __init__(self, host_name, http_request):
self._id = None
self.host_name = host_name
self._http_request = http_request
self._state = WorkerState.IDLE
self._job = None
# Give ability to send requests to worker
http_request.request_id = str(uuid4())
http_request.pending_requests = {}
async def send_job(self):
if self._job is not None:
data = {
"job_id": self._job.id,
"worker_id": self.id,
"data": self._job.data
}
return await self.call("start_job", data)
return False
async def call(self, method, params=None, timeout=None):
"""Call method on worker's side."""
request_id = self._http_request.request_id
self._http_request.request_id = str(uuid4())
pending_requests = self._http_request.pending_requests
pending_requests[request_id] = asyncio.Future()
request = encode_request(method, id=request_id, params=params)
await self._http_request.ws.send_str(request)
if timeout:
await asyncio.wait_for(
pending_requests[request_id],
timeout=timeout
)
else:
await pending_requests[request_id]
result = pending_requests[request_id].result()
del pending_requests[request_id]
return result
async def close(self):
return await self.ws.close(
code=WSCloseCode.GOING_AWAY,
message="Server shutdown"
)
@property
def id(self):
if self._id is None:
self._id = str(uuid4())
return self._id
@property
def state(self):
return self._state
@property
def current_job(self):
return self._job
@property
def http_request(self):
return self._http_request
@property
def ws(self):
return self.http_request.ws
def connection_is_alive(self):
if self.ws.closed or self.ws._writer.transport.is_closing():
return False
return True
def is_idle(self):
return self._state is WorkerState.IDLE
def job_assigned(self):
return (
self._state is WorkerState.JOB_ASSIGNED
or self._state is WorkerState.JOB_SENT
)
def is_working(self):
return self._state is WorkerState.JOB_SENT
def set_current_job(self, job):
if job is self._job:
return
self._job = job
if job is None:
self._set_idle()
else:
self._state = WorkerState.JOB_ASSIGNED
job.set_worker(self)
def _set_idle(self):
self._job = None
self._state = WorkerState.IDLE
def set_working(self):
self._state = WorkerState.JOB_SENT

View file

@ -0,0 +1,124 @@
import asyncio
import aiohttp
from aiohttp_json_rpc import JsonRpc
from aiohttp_json_rpc.protocol import (
encode_error, decode_msg, JsonRpcMsgTyp
)
from aiohttp_json_rpc.exceptions import RpcError
from .workers import Worker
class WorkerRpc(JsonRpc):
def __init__(self, job_queue, manager, **kwargs):
super().__init__(**kwargs)
self._job_queue = job_queue
self._manager = manager
self._stopped = False
# Register methods
self.add_methods(
("", self.register_worker),
("", self.job_done)
)
asyncio.ensure_future(self._rpc_loop(), loop=self.loop)
self._manager.add_route(
"*", "/ws", self.handle_request
)
# Panel routes for tools
async def register_worker(self, request, host_name):
worker = Worker(host_name, request.http_request)
self._job_queue.add_worker(worker)
return worker.id
async def _rpc_loop(self):
while self.loop.is_running():
if self._stopped:
break
for worker in tuple(self._job_queue.workers()):
if not worker.connection_is_alive():
self._job_queue.remove_worker(worker)
self._job_queue.assign_jobs()
await self.send_jobs()
await asyncio.sleep(5)
async def job_done(self, worker_id, job_id, success, message, data):
worker = self._job_queue.get_worker(worker_id)
if worker is not None:
worker.set_current_job(None)
job = self._job_queue.get_job(job_id)
if job is not None:
job.set_done(success, message, data)
return True
async def send_jobs(self):
invalid_workers = []
for worker in self._job_queue.workers():
if worker.job_assigned() and not worker.is_working():
try:
await worker.send_job()
except ConnectionResetError:
invalid_workers.append(worker)
for worker in invalid_workers:
self._job_queue.remove_worker(worker)
async def handle_websocket_request(self, http_request):
"""Overide this method to catch CLOSING messages."""
http_request.msg_id = 0
http_request.pending = {}
# prepare and register websocket
ws = aiohttp.web_ws.WebSocketResponse()
await ws.prepare(http_request)
http_request.ws = ws
self.clients.append(http_request)
while not ws.closed:
self.logger.debug('waiting for messages')
raw_msg = await ws.receive()
if raw_msg.type == aiohttp.WSMsgType.TEXT:
self.logger.debug('raw msg received: %s', raw_msg.data)
self.loop.create_task(
self._handle_rpc_msg(http_request, raw_msg)
)
elif raw_msg.type == aiohttp.WSMsgType.CLOSING:
break
self.clients.remove(http_request)
return ws
async def _handle_rpc_msg(self, http_request, raw_msg):
# This is duplicated code from super but there is no way how to do it
# to be able handle server->client requests
try:
_raw_message = raw_msg.data
msg = decode_msg(_raw_message)
except RpcError as error:
await self._ws_send_str(http_request, encode_error(error))
return
if msg.type in (JsonRpcMsgTyp.RESULT, JsonRpcMsgTyp.ERROR):
request_id = msg.data["id"]
if request_id in http_request.pending_requests:
future = http_request.pending_requests[request_id]
future.set_result(msg.data["result"])
return
return await super()._handle_rpc_msg(http_request, raw_msg)
async def stop(self):
self._stopped = True
for worker in tuple(self._job_queue.workers()):
await worker.close()

View file

@ -0,0 +1,5 @@
from .base_worker import WorkerJobsConnection
__all__ = (
"WorkerJobsConnection",
)

View file

@ -0,0 +1,190 @@
import sys
import datetime
import asyncio
import traceback
from aiohttp_json_rpc import JsonRpcClient
class WorkerClient(JsonRpcClient):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.add_methods(
("", self.start_job),
)
self.current_job = None
self._id = None
def set_id(self, worker_id):
self._id = worker_id
async def start_job(self, job_data):
if self.current_job is not None:
return False
print("Got new job {}".format(str(job_data)))
self.current_job = job_data
return True
def finish_job(self, success, message, data):
asyncio.ensure_future(
self._finish_job(success, message, data),
loop=self._loop
)
async def _finish_job(self, success, message, data):
print("Current job", self.current_job)
job_id = self.current_job["job_id"]
self.current_job = None
return await self.call(
"job_done", [self._id, job_id, success, message, data]
)
class WorkerJobsConnection:
"""WS connection to Job server.
Helper class to create a connection to process jobs from job server.
To be able receive jobs is needed to create a connection and then register
as worker for specific host.
"""
retry_time_seconds = 5
def __init__(self, server_url, host_name, loop=None):
self.client = None
self._loop = loop
self._host_name = host_name
self._server_url = server_url
self._is_running = False
self._connecting = False
self._connected = False
self._stopped = False
def stop(self):
print("Stopping worker")
self._stopped = True
@property
def is_running(self):
return self._is_running
@property
def current_job(self):
if self.client is not None:
return self.client.current_job
return None
def finish_job(self, success=True, message=None, data=None):
"""Worker finished job and sets the result which is send to server."""
if self.client is None:
print((
"Couldn't sent job status to server because"
" client is not connected."
))
else:
self.client.finish_job(success, message, data)
async def main_loop(self, register_worker=True):
"""Main loop of connection which keep connection to server alive."""
self._is_running = True
while not self._stopped:
start_time = datetime.datetime.now()
await self._connection_loop(register_worker)
delta = datetime.datetime.now() - start_time
print("Connection loop took {}s".format(str(delta)))
# Check if was stopped and stop while loop in that case
if self._stopped:
break
if delta.seconds < 60:
print((
"Can't connect to server will try in {} seconds."
).format(self.retry_time_seconds))
await asyncio.sleep(self.retry_time_seconds)
self._is_running = False
async def _connect(self):
self.client = WorkerClient()
print("Connecting to {}".format(self._server_url))
try:
await self.client.connect_url(self._server_url)
except KeyboardInterrupt:
raise
except Exception:
traceback.print_exception(*sys.exc_info())
async def _connection_loop(self, register_worker):
self._connecting = True
future = asyncio.run_coroutine_threadsafe(
self._connect(), loop=self._loop
)
while self._connecting:
if not future.done():
await asyncio.sleep(0.07)
continue
session = getattr(self.client, "_session", None)
ws = getattr(self.client, "_ws", None)
if session is not None:
if session.closed:
self._connecting = False
self._connected = False
break
elif ws is not None:
self._connecting = False
self._connected = True
if self._stopped:
break
await asyncio.sleep(0.07)
if not self._connected:
self.client = None
return
print("Connected to job queue server")
if register_worker:
self.register_as_worker()
while self._connected and self._loop.is_running():
if self._stopped or ws.closed:
break
await asyncio.sleep(0.3)
await self._stop_cleanup()
def register_as_worker(self):
"""Register as worker ready to work on server side."""
asyncio.ensure_future(self._register_as_worker(), loop=self._loop)
async def _register_as_worker(self):
worker_id = await self.client.call(
"register_worker", [self._host_name]
)
self.client.set_id(worker_id)
print(
"Registered as worker with id {}".format(worker_id)
)
async def disconnect(self):
await self._stop_cleanup()
async def _stop_cleanup(self):
print("Cleanup after stop")
if self.client is not None and hasattr(self.client, "_ws"):
await self.client.disconnect()
self.client = None
self._connecting = False
self._connected = False

View file

@ -0,0 +1,241 @@
"""Job queue OpenPype module was created for remote execution of commands.
## Why is needed
Primarily created for hosts which are not easilly controlled from command line
or in headless mode and is easier to keep one process of host running listening
for jobs to do.
### Example
One of examples is TVPaint which does not have headless mode, can run only one
process at one time and it's impossible to know what should be executed inside
TVPaint before we know all data about the file that should be processed.
## Idea
Idea is that there is a server, workers and workstation/s which need to process
something on a worker.
Workers and workstation/s must have access to server through adress to it's
running instance. Workers use WebSockets and workstations are using HTTP calls.
Also both of them must have access to job queue root which is set in
settings. Root is used as temp where files needed for job can be stored before
sending the job or where result files are stored when job is done.
Server's address must be set in settings when is running so workers and
workstations know where to send or receive jobs.
## Command line commands
### start_server
- start server which is handles jobs
- it is possible to specify port and host address (default is localhost:8079)
### start_worker
- start worker which will process jobs
- has required possitional argument which is application name from OpenPype
settings e.g. 'tvpaint/11-5' ('tvpaint' is group '11-5' is variant)
- it is possible to specify server url but url from settings is used when not
passed (this is added mainly for developing purposes)
"""
import sys
import json
import copy
import platform
import click
from openpype.modules import OpenPypeModule
from openpype.api import get_system_settings
class JobQueueModule(OpenPypeModule):
name = "job_queue"
def initialize(self, modules_settings):
server_url = modules_settings.get("server_url") or ""
self._server_url = self.url_conversion(server_url)
jobs_root_mapping = self._roots_mapping_conversion(
modules_settings.get("jobs_root")
)
self._jobs_root_mapping = jobs_root_mapping
# Is always enabled
# - the module does nothing until is used
self.enabled = True
@classmethod
def _root_conversion(cls, root_path):
"""Make sure root path does not end with slash."""
# Return empty string if path is invalid
if not root_path:
return ""
# Remove all slashes
while root_path.endswith("/") or root_path.endswith("\\"):
root_path = root_path[:-1]
return root_path
@classmethod
def _roots_mapping_conversion(cls, roots_mapping):
roots_mapping = roots_mapping or {}
for platform_name in ("windows", "linux", "darwin"):
roots_mapping[platform_name] = cls._root_conversion(
roots_mapping.get(platform_name)
)
return roots_mapping
@staticmethod
def url_conversion(url, ws=False):
if sys.version_info[0] == 2:
from urlparse import urlsplit, urlunsplit
else:
from urllib.parse import urlsplit, urlunsplit
if not url:
return url
url_parts = list(urlsplit(url))
scheme = url_parts[0]
if not scheme:
if ws:
url = "ws://{}".format(url)
else:
url = "http://{}".format(url)
url_parts = list(urlsplit(url))
elif ws:
if scheme not in ("ws", "wss"):
if scheme == "https":
url_parts[0] = "wss"
else:
url_parts[0] = "ws"
elif scheme not in ("http", "https"):
if scheme == "wss":
url_parts[0] = "https"
else:
url_parts[0] = "http"
return urlunsplit(url_parts)
def get_jobs_root_mapping(self):
return copy.deepcopy(self._jobs_root_mapping)
def get_jobs_root(self):
return self._jobs_root_mapping.get(platform.system().lower())
@classmethod
def get_jobs_root_from_settings(cls):
module_settings = get_system_settings()["modules"]
jobs_root_mapping = module_settings.get(cls.name, {}).get("jobs_root")
converted_mapping = cls._roots_mapping_conversion(jobs_root_mapping)
return converted_mapping[platform.system().lower()]
@property
def server_url(self):
return self._server_url
def send_job(self, host_name, job_data):
import requests
job_data = job_data or {}
job_data["host_name"] = host_name
api_path = "{}/api/jobs".format(self._server_url)
post_request = requests.post(api_path, data=json.dumps(job_data))
return str(post_request.content.decode())
def get_job_status(self, job_id):
import requests
api_path = "{}/api/jobs/{}".format(self._server_url, job_id)
return requests.get(api_path).json()
def cli(self, click_group):
click_group.add_command(cli_main)
@classmethod
def get_server_url_from_settings(cls):
module_settings = get_system_settings()["modules"]
return cls.url_conversion(
module_settings
.get(cls.name, {})
.get("server_url")
)
@classmethod
def start_server(cls, port=None, host=None):
from .job_server import main
return main(port, host)
@classmethod
def start_worker(cls, app_name, server_url=None):
import requests
from openpype.lib import ApplicationManager
if not server_url:
server_url = cls.get_server_url_from_settings()
if not server_url:
raise ValueError("Server url is not set.")
http_server_url = cls.url_conversion(server_url)
# Validate url
requests.get(http_server_url)
ws_server_url = cls.url_conversion(server_url) + "/ws"
app_manager = ApplicationManager()
app = app_manager.applications.get(app_name)
if app is None:
raise ValueError(
"Didn't find application \"{}\" in settings.".format(app_name)
)
if app.host_name == "tvpaint":
return cls._start_tvpaint_worker(app, ws_server_url)
raise ValueError("Unknown host \"{}\"".format(app.host_name))
@classmethod
def _start_tvpaint_worker(cls, app, server_url):
from openpype.hosts.tvpaint.worker import main
executable = app.find_executable()
if not executable:
raise ValueError((
"Executable for app \"{}\" is not set"
" or accessible on this workstation."
).format(app.full_name))
return main(str(executable), server_url)
@click.group(
JobQueueModule.name,
help="Application job server. Can be used as render farm."
)
def cli_main():
pass
@cli_main.command(
"start_server",
help="Start server handling workers and their jobs."
)
@click.option("--port", help="Server port")
@click.option("--host", help="Server host (ip address)")
def cli_start_server(port, host):
JobQueueModule.start_server(port, host)
@cli_main.command(
"start_worker", help=(
"Start a worker for a specific application. (e.g. \"tvpaint/11.5\")"
)
)
@click.argument("app_name")
@click.option("--server_url", help="Server url which handle workers and jobs.")
def cli_start_worker(app_name, server_url):
JobQueueModule.start_worker(app_name, server_url)

View file

@ -7,7 +7,7 @@ import pyblish.api
class CollectModules(pyblish.api.ContextPlugin):
"""Collect OpenPype modules."""
order = pyblish.api.CollectorOrder
order = pyblish.api.CollectorOrder - 0.45
label = "OpenPype Modules"
def process(self, context):

View file

@ -115,6 +115,9 @@
"default_task_type": "Default task type"
}
}
},
"CollectTVPaintInstances": {
"layer_name_regex": "(?P<layer>L[0-9]{3}_\\w+)_(?P<pass>.+)"
}
}
}

View file

@ -188,5 +188,13 @@
},
"slack": {
"enabled": false
},
"job_queue": {
"server_url": "",
"jobs_root": {
"windows": "",
"darwin": "",
"linux": ""
}
}
}

View file

@ -62,8 +62,25 @@
}
}
]
},
{
"type": "dict",
"collapsible": true,
"key": "CollectTVPaintInstances",
"label": "Collect TVPaint Instances",
"children": [
{
"type": "label",
"label": "Regex helps to extract render layer and pass names from TVPaint layer name.<br>The regex must contain named groups <b>'layer'</b> and <b>'pass'</b> which are used for creation of RenderPass instances.<hr><br>Example layer name: <b>\"L001_Person_Hand\"</b><br>Example regex: <b>\"(?P&lt;layer&gt;L[0-9]{3}_\\w+)_(?P&lt;pass&gt;.+)\"</b><br>Extracted layer: <b>\"L001_Person\"</b><br>Extracted pass: <b>\"Hand\"</b>"
},
{
"type": "text",
"key": "layer_name_regex",
"label": "Layer name regex"
}
]
}
]
}
]
}
}

View file

@ -262,6 +262,38 @@
}
]
},
{
"type": "dict",
"key": "job_queue",
"label": "Job Queue",
"require_restart": true,
"collapsible": true,
"children": [
{
"type": "label",
"label": "Address of machine where job queue server is running."
},
{
"type": "text",
"key": "server_url",
"label": "Server Rest URL"
},
{
"type": "separator"
},
{
"type": "label",
"label": "Jobs root is used as temporary directory for workers where source is copied and render output can be stored."
},
{
"key": "jobs_root",
"label": "Jobs root",
"type": "path",
"multipath": false,
"multiplatform": true
}
]
},
{
"type": "dynamic_schema",
"name": "system_settings/modules"