blender/release/scripts/keyingsets/keyingsets_utils.py

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== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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# This file defines a set of methods that are useful for various
# Relative Keying Set (RKS) related operations, such as: callbacks
# for polling, iterator callbacks, and also generate callbacks.
# All of these can be used in conjunction with the others.
import bpy
###########################
# General Utilities
# Append the specified property name on the the existing path
def path_add_property(path, prop):
if len(path):
return path + "." + prop;
else:
return prop;
###########################
# Poll Callbacks
# selected objects
def RKS_POLL_selected_objects(ksi, context):
return context.active_object or len(context.selected_objects);
# selected bones
def RKS_POLL_selected_bones(ksi, context):
# we must be in Pose Mode, and there must be some bones selected
if (context.active_object) and (context.active_object.mode == 'POSE'):
if context.active_pose_bone or len(context.selected_pose_bones):
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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return True;
# nothing selected
return False;
# selected bones or objects
def RKS_POLL_selected_items(ksi, context):
return RKS_POLL_selected_bones(ksi, context) or RKS_POLL_selected_objects(ksi, context);
###########################
# Iterator Callbacks
# all selected objects or pose bones, depending on which we've got
def RKS_ITER_selected_item(ksi, context, ks):
if (context.active_object) and (context.active_object.mode == 'POSE'):
for bone in context.selected_pose_bones:
ksi.generate(context, ks, bone)
else:
for ob in context.selected_objects:
ksi.generate(context, ks, ob)
###########################
# Generate Callbacks
# 'Available' F-Curves
def RKS_GEN_available(ksi, context, ks, data):
# try to get the animation data associated with the closest
# ID-block to the data (neither of which may exist/be easy to find)
id_block = data.id_data
adt = getattr(id_block, "animation_data", None)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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# there must also be an active action...
if adt is None or adt.action is None:
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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return;
# for each F-Curve, include an path to key it
# NOTE: we don't need to set the group settings here
for fcu in adt.action.fcurves:
ks.paths.add(id_block, fcu.data_path, index=fcu.array_index)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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# ------
# get ID block and based ID path for transform generators
def get_transform_generators_base_info(data):
# ID-block for the data
id_block = data.id_data
# get base path and grouping method/name
if isinstance(data, bpy.types.ID):
# no path in this case
path = ""
# data on ID-blocks directly should get grouped by the KeyingSet
grouping = None
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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else:
# get the path to the ID-block
path = data.path_from_id()
# try to use the name of the data element to group the F-Curve
# else fallback on the KeyingSet name
grouping = getattr(data, "name", None)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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# return the ID-block and the path
return id_block, path, grouping
# Location
def RKS_GEN_location(ksi, context, ks, data):
# get id-block and path info
id_block, base_path, grouping = get_transform_generators_base_info(data)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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# add the property name to the base path
path = path_add_property(base_path, "location")
# add Keying Set entry for this...
if grouping:
ks.paths.add(id_block, path, group_method='NAMED', group_name=grouping)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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else:
ks.paths.add(id_block, path)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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# Rotation
def RKS_GEN_rotation(ksi, context, ks, data):
# get id-block and path info
id_block, base_path, grouping= get_transform_generators_base_info(data)
# add the property name to the base path
# rotation mode affects the property used
if data.rotation_mode == 'QUATERNION':
path = path_add_property(base_path, "rotation_quaternion")
elif data.rotation_mode == 'AXISANGLE':
path = path_add_property(base_path, "rotation_axis_angle")
else:
path = path_add_property(base_path, "rotation_euler")
# add Keying Set entry for this...
if grouping:
ks.paths.add(id_block, path, group_method='NAMED', group_name=grouping)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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else:
ks.paths.add(id_block, path)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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# Scaling
def RKS_GEN_scaling(ksi, context, ks, data):
# get id-block and path info
id_block, base_path, grouping= get_transform_generators_base_info(data)
# add the property name to the base path
path = path_add_property(base_path, "scale")
# add Keying Set entry for this...
if grouping:
ks.paths.add(id_block, path, group_method='NAMED', group_name=grouping)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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else:
ks.paths.add(id_block, path)
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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###########################
# Un-needed stuff which is here to just shut up the warnings...
classes = []
def register():
pass
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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def unregister():
pass
== Massive Keying Sets Recode == After a few days of wrong turns and learning the finer points of RNA-type-subclassing the hard way, this commit finally presents a refactored version of the Keying Sets system (now version 2) based on some requirements from Cessen. For a more thorough discussion of this commit, see http://sites.google.com/site/aligorith/keyingsets_2.pdf?attredirects=0&d=1 ------ The main highlight of this refactor is that relative Keying Sets have now been recoded so that Python callbacks are run to generate the Keying Set's list of paths everytime the Keying Set is used (to insert or delete keyframes), allowing complex heuristics to be used to determine whether a property gets keyframed based on the current context. These checks may include checking on selection status of related entities, or transform locks. Built-In KeyingSets have also been recoded, and moved from C and out into Python. These are now coded as Relative Keying Sets, and can to some extent serve as basis for adding new relative Keying Sets. However, these have mostly been coded in a slightly 'modular' way which may be confusing for those not so familiar with Python in general. A usable template will be added soon for more general usage. Keyframing settings (i.e. 'visual', 'needed') can now be specified on a per-path basis now, which is especially useful for Absolute Keying Sets, where control over this is often beneficial. Most of the places where Auto-Keyframing is performed have been tidied up for consistency. I'm sure quite a few issues still exist there, but these I'll clean up over the next few days.
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if __name__ == "__main__":
register()
###########################