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Ostap

May 19, 2019 04:26:09

Hi,

Is it possible to set spare parameters value from Python Processor or any other PDG Node?

Thanks
Ostap

tpetrick

May 21, 2019 10:43:05

Yep, it's possible to add spare parms to any TOP node. For example, in Python Processor code you can evaluate any params on the node, including spare parms, like so:

# Evaluate a parameter with no work item
self['example'].evaluateInt()

# Evaluate at a specific index
self['example'].evaluateInt(2)

# Evaluate the parameter against a specific work item. This is needed if you want @attribute expressions to be evalauted.
new_item = itemholder.addWorkItem()
self['other_example'].evaluateString(new_item)

# Specified work item and index
self['other_example'].evaluateString(new_item, 1)

Ostap

May 21, 2019 19:35:48

But how to set the values? I found only how to evaluate the parms.

tpetrick

May 23, 2019 10:48:12

The code in the Python Processor node executes during the cook, within a context that access to the underyling PDG node/API. You can look up the corresponding TOP and set parameters on it like so:

import hou

node_id = self.customId
top_node = hou.nodeBySessionId(node_id)
top_node.parm("newparameter").set("test")

However this isn't recommended, because it means that you'll be modifying the TOP node from PDG, during the cook. What are you trying to do that needs parms to modified during the cook?

Ostap

May 23, 2019 17:18:30

In my case, it is for data visual representation without clicking on workitems.
I agree that we need to be careful with this possibility but anyway, nice that we have this option.