f3e21c6b98
Accumulated uncommitted work: GHOST Web backend, WebGL/GPU web layer, web workflow engine and protocol, tooling, docs and task records. Large generated evidence, user-testing archives, build snapshots and imported test assets remain untracked. Co-Authored-By: Claude Code <noreply@anthropic.com>
107 lines
4.0 KiB
Python
107 lines
4.0 KiB
Python
import json
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from pathlib import Path
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import sys
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import bpy
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def curves_of(action):
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curves = []
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if hasattr(action, "fcurves"):
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curves.extend(action.fcurves)
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for layer in action.layers:
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for strip in layer.strips:
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for bag in getattr(strip, "channelbags", []):
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curves.extend(bag.fcurves)
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return curves
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def curve_data(curve):
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driver = curve.driver
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return {
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"path": curve.data_path,
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"index": curve.array_index,
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"group": curve.group.name if curve.group else None,
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"driver": None if driver is None else {
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"type": driver.type,
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"expression": driver.expression,
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"variables": [variable.name for variable in driver.variables],
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},
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"keys": [{
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"co": list(key.co),
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"left": list(key.handle_left),
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"right": list(key.handle_right),
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"leftType": key.handle_left_type,
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"rightType": key.handle_right_type,
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"interpolation": key.interpolation,
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} for key in curve.keyframe_points],
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}
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def snapshot():
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result = {
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"actions": [{
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"name": action.name,
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"curves": sorted([curve_data(curve) for curve in curves_of(action)],
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key=lambda curve: (curve["path"], curve["index"])),
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"legacyGroups": [group.name for group in getattr(action, "groups", [])],
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"slotGroups": [{
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"slot": bag.slot_handle,
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"groups": [group.name for group in bag.groups],
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} for layer in action.layers for strip in layer.strips
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for bag in getattr(strip, "channelbags", [])],
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} for action in sorted(bpy.data.actions, key=lambda item: item.name)],
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"objects": [{
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"name": obj.name,
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"action": obj.animation_data.action.name
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if obj.animation_data and obj.animation_data.action else None,
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"drivers": [curve_data(curve) for curve in obj.animation_data.drivers]
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if obj.animation_data else [],
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"location": list(obj.location),
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} for obj in sorted(bpy.data.objects, key=lambda item: item.name)],
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"scenes": [{
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"name": scene.name,
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"frame": scene.frame_current,
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"activeKeyingSet": scene.keying_sets.active.bl_label
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if scene.keying_sets.active else None,
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"keyingSets": [{
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"name": keying_set.bl_label,
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"idname": keying_set.bl_idname,
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"isPathAbsolute": keying_set.is_path_absolute,
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"paths": [{
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"path": item.data_path,
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"arrayIndex": item.array_index,
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"id": item.id.name if item.id else None,
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"idType": item.id_type,
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} for item in keying_set.paths],
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} for keying_set in scene.keying_sets],
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} for scene in sorted(bpy.data.scenes, key=lambda item: item.name)],
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}
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frames = []
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scene = bpy.context.scene
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original_frame = scene.frame_current
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for frame in [1, 3, 5]:
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scene.frame_set(frame)
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evaluated = bpy.context.evaluated_depsgraph_get()
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frames.append({
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"frame": frame,
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"objects": [{
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"name": obj.name,
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"location": list(obj.evaluated_get(evaluated).location),
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"rotation": list(obj.evaluated_get(evaluated).rotation_euler),
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"scale": list(obj.evaluated_get(evaluated).scale),
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} for obj in sorted(bpy.data.objects, key=lambda item: item.name)],
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})
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scene.frame_set(original_frame)
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result["evaluatedSamples"] = frames
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return result
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request_path = Path(sys.argv[sys.argv.index("--") + 1])
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request = json.loads(request_path.read_text())
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result = {}
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for label, filename in request["files"].items():
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bpy.ops.wm.open_mainfile(filepath=str(Path(filename).resolve()))
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result[label] = snapshot()
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Path(request["output"]).write_text(json.dumps(result, sort_keys=True, indent=2) + "\n")
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