Parsing back and forth between dict and node knobs in Nuke.
- Convert dict data into Nuke node knobs.
- Extract knob values back into dict.
- Won't have duplicated knobs in multiple imprints to same node.
- Knob name will be prefixed with parent tab name.
Parsing dict into knobs under a tab
import nuke
from collections import OrderedDict
from knobby import util
node = nuke.createNode("NoOp")
data = OrderedDict([
# Regular type of attributes
("options", ["x", "y", "z"]),
("enable", True),
("width", 100.15),
("count", 5),
# Manual nice knob naming
(("speach", "My Speach"), "Hello World!"),
# Creating non-default imprint type of knob
("filePath", util.Knobby("File_Knob", "/file/path")),
(("divider1", ""), util.Knobby("Text_Knob", "")),
# dict type will be created as knob group
(
"KnobGroup",
OrderedDict([
("knob1", 5),
("knob2", "hello"),
("knob3", ["a", "b"]),
])
),
(("divider2", ""), util.Knobby("Text_Knob", "")),
# Nested dict will be created as tab group
(
"TabGroup",
OrderedDict([
("tab1", {"count": 5}),
("tab2", {"isGood": True}),
("tab3", {"direction": ["Left", "Right"]}),
]),
),
])
util.imprint(node, data, tab="Demo")Parsing user knobs with filter and put into dict
import nuke
from knobby import util
node = nuke.createNode("NoOp")
util.imprint(node, {"value": 5}, tab="this")
util.imprint(node, {"value": 2}, tab="that")
def get_value(name):
tab, name, *args = name.split(":")[:2]
return name if tab == "this" and name == "value" else None
heights = util.read(node, filter=get_value)
assert heights == {"value": 5}Parsing user knobs by tab and put into dict with tab hierarchy preserved
import nuke
from knobby import util
node = nuke.createNode("NoOp")
data = {
"data": {
"david": {
"age": 31,
"height": 172.9,
"weight": 78,
},
"tom": {
"age": 27,
"height": 165.9,
"weight": 68,
},
}
}
util.imprint(node, data, tab="person")
mold = util.mold(node)
assert mold == {"person": data}
mold = util.mold(node, tab="person")
assert mold == data
mold = util.mold(node, tab="person:data:tom")
assert mold == {
"age": 27,
"height": 165.9,
"weight": 68,
}