animation_atomic.py•28.4 kB
# Generated blender implementation for animation atomic tools
# This file is generated - DO NOT EDIT DIRECTLY
import bpy
from typing import Dict, Any, Optional, List, Union, Tuple, Literal
def createChannels(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Create multiple Channels
Args:
items (List[Dict[str, Any] with keys {"name": str, "metadata": Dict[str, Any], "path": str, "type": Literal["SCALAR", "VEC2", "VEC3", "VEC4", "MAT2", "MAT3", "MAT4", "QUAT"], "nodeId": str, "clipId": str, "defaultValue": Any, "enabled": bool, "extrapolationPre": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"], "extrapolationPost": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"]}]): Array of Channels to create
Returns:
success (bool): Operation success status
ids (List[str]): IDs of the created Channels
"""
tool_name = "createChannels" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"ids": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def updateChannels(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Update multiple Channels in a single operation
Args:
items (List[Dict[str, Any] with keys {"ids": List[str], "name": str, "metadata": Dict[str, Any], "path": str, "type": Literal["SCALAR", "VEC2", "VEC3", "VEC4", "MAT2", "MAT3", "MAT4", "QUAT"], "nodeId": str, "clipId": str, "defaultValue": Any, "enabled": bool, "extrapolationPre": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"], "extrapolationPost": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"]}]): Array of Channels to update with their IDs
Returns:
success (bool): Operation success status
"""
tool_name = "updateChannels" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def listChannels(parentId: Optional[str] = None, filters: Optional[Dict[str, Any]] = None, limit: Optional[int] = None, offset: Optional[int] = None) -> Dict[str, Any]:
"""
List all Channels
Args:
parentId (str): Optional parent ID to filter by
filters (Dict[str, Any]): Optional filters to apply
limit (int): Maximum number of results
offset (int): Starting offset for pagination
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "path": str, "type": Literal["SCALAR", "VEC2", "VEC3", "VEC4", "MAT2", "MAT3", "MAT4", "QUAT"], "nodeId": str, "clipId": str, "defaultValue": Any, "enabled": bool, "extrapolationPre": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"], "extrapolationPost": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"]}]): Array of Channels objects
totalCount (int): Total count for pagination
"""
tool_name = "listChannels" # Define tool name for logging
params = {"parentId": parentId, "filters": filters, "limit": limit, "offset": offset} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None , # TODO: Implement
"totalCount": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def getDrivers(ids: List[str]) -> Dict[str, Any]:
"""
Get multiple Drivers by IDs
Args:
ids (List[str]): Driver identifiers
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "targetNodeId": str, "targetPath": str, "expression": str, "variables": List[Dict[str, Any] with keys {"name": str, "sourceNodeId": str, "sourcePath": str, "transform": str}]}]): Array of Drivers objects
"""
tool_name = "getDrivers" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def updateKeyframes(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Update multiple Keyframes in a single operation
Args:
items (List[Dict[str, Any] with keys {"ids": List[str], "name": str, "metadata": Dict[str, Any], "time": float, "value": List[float], "channelId": str, "tangentIn": List[float], "tangentOut": List[float]}]): Array of Keyframes to update with their IDs
Returns:
success (bool): Operation success status
"""
tool_name = "updateKeyframes" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def getLayers(ids: List[str]) -> Dict[str, Any]:
"""
Get multiple Layers by IDs
Args:
ids (List[str]): Layer identifiers
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "weight": float, "additive": bool, "parentId": str, "clipIds": List[str]}]): Array of Layers objects
"""
tool_name = "getLayers" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def deleteClips(ids: List[str]) -> Dict[str, Any]:
"""
Delete multiple Clips
Args:
ids (List[str]): Clip identifiers to delete
Returns:
success (bool): Operation success status
"""
tool_name = "deleteClips" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def getKeyframes(ids: List[str]) -> Dict[str, Any]:
"""
Get multiple Keyframes by IDs
Args:
ids (List[str]): Keyframe identifiers
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "time": float, "value": List[float], "channelId": str, "tangentIn": List[float], "tangentOut": List[float]}]): Array of Keyframes objects
"""
tool_name = "getKeyframes" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def listKeyframes(parentId: Optional[str] = None, filters: Optional[Dict[str, Any]] = None, limit: Optional[int] = None, offset: Optional[int] = None) -> Dict[str, Any]:
"""
List all Keyframes
Args:
parentId (str): Optional parent ID to filter by
filters (Dict[str, Any]): Optional filters to apply
limit (int): Maximum number of results
offset (int): Starting offset for pagination
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "time": float, "value": List[float], "channelId": str, "tangentIn": List[float], "tangentOut": List[float]}]): Array of Keyframes objects
totalCount (int): Total count for pagination
"""
tool_name = "listKeyframes" # Define tool name for logging
params = {"parentId": parentId, "filters": filters, "limit": limit, "offset": offset} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None , # TODO: Implement
"totalCount": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def createClips(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Create multiple Clips
Args:
items (List[Dict[str, Any] with keys {"name": str, "metadata": Dict[str, Any], "duration": float, "frameRate": float, "startTime": float, "loop": bool, "speed": float, "enabled": bool}]): Array of Clips to create
Returns:
success (bool): Operation success status
ids (List[str]): IDs of the created Clips
"""
tool_name = "createClips" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"ids": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def deleteChannels(ids: List[str]) -> Dict[str, Any]:
"""
Delete multiple Channels
Args:
ids (List[str]): Channel identifiers to delete
Returns:
success (bool): Operation success status
"""
tool_name = "deleteChannels" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def updateDrivers(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Update multiple Drivers in a single operation
Args:
items (List[Dict[str, Any] with keys {"ids": List[str], "name": str, "metadata": Dict[str, Any], "targetNodeId": str, "targetPath": str, "expression": str, "variables": List[Dict[str, Any] with keys {"name": str, "sourceNodeId": str, "sourcePath": str, "transform": str}]}]): Array of Drivers to update with their IDs
Returns:
success (bool): Operation success status
"""
tool_name = "updateDrivers" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def createKeyframes(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Create multiple Keyframes
Args:
items (List[Dict[str, Any] with keys {"name": str, "metadata": Dict[str, Any], "time": float, "value": List[float], "channelId": str, "tangentIn": List[float], "tangentOut": List[float]}]): Array of Keyframes to create
Returns:
success (bool): Operation success status
ids (List[str]): IDs of the created Keyframes
"""
tool_name = "createKeyframes" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"ids": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def getClips(ids: List[str]) -> Dict[str, Any]:
"""
Get multiple Clips by IDs
Args:
ids (List[str]): Clip identifiers
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "duration": float, "frameRate": float, "startTime": float, "loop": bool, "speed": float, "enabled": bool}]): Array of Clips objects
"""
tool_name = "getClips" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def updateLayers(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Update multiple Layers in a single operation
Args:
items (List[Dict[str, Any] with keys {"ids": List[str], "name": str, "metadata": Dict[str, Any], "weight": float, "additive": bool, "parentId": str, "clipIds": List[str]}]): Array of Layers to update with their IDs
Returns:
success (bool): Operation success status
"""
tool_name = "updateLayers" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def listLayers(parentId: Optional[str] = None, filters: Optional[Dict[str, Any]] = None, limit: Optional[int] = None, offset: Optional[int] = None) -> Dict[str, Any]:
"""
List all Layers
Args:
parentId (str): Optional parent ID to filter by
filters (Dict[str, Any]): Optional filters to apply
limit (int): Maximum number of results
offset (int): Starting offset for pagination
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "weight": float, "additive": bool, "parentId": str, "clipIds": List[str]}]): Array of Layers objects
totalCount (int): Total count for pagination
"""
tool_name = "listLayers" # Define tool name for logging
params = {"parentId": parentId, "filters": filters, "limit": limit, "offset": offset} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None , # TODO: Implement
"totalCount": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def deleteKeyframes(ids: List[str]) -> Dict[str, Any]:
"""
Delete multiple Keyframes
Args:
ids (List[str]): Keyframe identifiers to delete
Returns:
success (bool): Operation success status
"""
tool_name = "deleteKeyframes" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def listClips(parentId: Optional[str] = None, filters: Optional[Dict[str, Any]] = None, limit: Optional[int] = None, offset: Optional[int] = None) -> Dict[str, Any]:
"""
List all Clips
Args:
parentId (str): Optional parent ID to filter by
filters (Dict[str, Any]): Optional filters to apply
limit (int): Maximum number of results
offset (int): Starting offset for pagination
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "duration": float, "frameRate": float, "startTime": float, "loop": bool, "speed": float, "enabled": bool}]): Array of Clips objects
totalCount (int): Total count for pagination
"""
tool_name = "listClips" # Define tool name for logging
params = {"parentId": parentId, "filters": filters, "limit": limit, "offset": offset} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None , # TODO: Implement
"totalCount": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def listDrivers(parentId: Optional[str] = None, filters: Optional[Dict[str, Any]] = None, limit: Optional[int] = None, offset: Optional[int] = None) -> Dict[str, Any]:
"""
List all Drivers
Args:
parentId (str): Optional parent ID to filter by
filters (Dict[str, Any]): Optional filters to apply
limit (int): Maximum number of results
offset (int): Starting offset for pagination
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "targetNodeId": str, "targetPath": str, "expression": str, "variables": List[Dict[str, Any] with keys {"name": str, "sourceNodeId": str, "sourcePath": str, "transform": str}]}]): Array of Drivers objects
totalCount (int): Total count for pagination
"""
tool_name = "listDrivers" # Define tool name for logging
params = {"parentId": parentId, "filters": filters, "limit": limit, "offset": offset} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None , # TODO: Implement
"totalCount": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def deleteDrivers(ids: List[str]) -> Dict[str, Any]:
"""
Delete multiple Drivers
Args:
ids (List[str]): Driver identifiers to delete
Returns:
success (bool): Operation success status
"""
tool_name = "deleteDrivers" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def updateClips(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Update multiple Clips in a single operation
Args:
items (List[Dict[str, Any] with keys {"ids": List[str], "name": str, "metadata": Dict[str, Any], "duration": float, "frameRate": float, "startTime": float, "loop": bool, "speed": float, "enabled": bool}]): Array of Clips to update with their IDs
Returns:
success (bool): Operation success status
"""
tool_name = "updateClips" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def getChannels(ids: List[str]) -> Dict[str, Any]:
"""
Get multiple Channels by IDs
Args:
ids (List[str]): Channel identifiers
Returns:
success (bool): Operation success status
items (List[Dict[str, Any] with keys {"id": str, "name": str, "metadata": Dict[str, Any], "path": str, "type": Literal["SCALAR", "VEC2", "VEC3", "VEC4", "MAT2", "MAT3", "MAT4", "QUAT"], "nodeId": str, "clipId": str, "defaultValue": Any, "enabled": bool, "extrapolationPre": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"], "extrapolationPost": Literal["constant", "linear", "cycle", "cycleWithOffset", "oscillate"]}]): Array of Channels objects
"""
tool_name = "getChannels" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"items": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def createLayers(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Create multiple Layers
Args:
items (List[Dict[str, Any] with keys {"name": str, "metadata": Dict[str, Any], "weight": float, "additive": bool, "parentId": str, "clipIds": List[str]}]): Array of Layers to create
Returns:
success (bool): Operation success status
ids (List[str]): IDs of the created Layers
"""
tool_name = "createLayers" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"ids": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def deleteLayers(ids: List[str]) -> Dict[str, Any]:
"""
Delete multiple Layers
Args:
ids (List[str]): Layer identifiers to delete
Returns:
success (bool): Operation success status
"""
tool_name = "deleteLayers" # Define tool name for logging
params = {"ids": ids} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
def createDrivers(items: List[Dict[str, Any]]) -> Dict[str, Any]:
"""
Create multiple Drivers
Args:
items (List[Dict[str, Any] with keys {"name": str, "metadata": Dict[str, Any], "targetNodeId": str, "targetPath": str, "expression": str, "variables": List[Dict[str, Any] with keys {"name": str, "sourceNodeId": str, "sourcePath": str, "transform": str}]}]): Array of Drivers to create
Returns:
success (bool): Operation success status
ids (List[str]): IDs of the created Drivers
"""
tool_name = "createDrivers" # Define tool name for logging
params = {"items": items} # Create params dict for logging
print(f"Executing {tool_name} in Blender with params: {params}")
try:
# No parameters to validate
# TODO: Implement actual blender API calls
# This is a placeholder implementation
return {
"success": True, # TODO: Implement
"ids": None
}
except Exception as e:
print(f"Error in {tool_name}: {str(e)}")
return {"success": False, "error": str(e)}
# === NEWLY GENERATED ===