Vito
a52ff4e052
* feat(ui): add Focused Prompt Manager node (#186) * feat(ui): autocomplete saved Focused metadata with shared controls (#186) * feat(ui): autocomplete Focused library filters (#186)
62 lines
2.7 KiB
Python
62 lines
2.7 KiB
Python
"""Focused shares encoding and tracking while exposing composition sockets."""
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import logging
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import unittest
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from unittest import mock
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from prompt_manager import PromptManager, PromptManagerFocused
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from utils.prompt_graph import positive_prompt_nodes, run_prompt_nodes
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class TestFocusedNode(unittest.TestCase):
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def test_focused_keeps_the_execution_contract_and_visible_string_inputs(self):
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self.assertTrue(issubclass(PromptManagerFocused, PromptManager))
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self.assertEqual(PromptManagerFocused.RETURN_TYPES, PromptManager.RETURN_TYPES)
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self.assertEqual(PromptManagerFocused.FUNCTION, PromptManager.FUNCTION)
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focused = PromptManagerFocused.INPUT_TYPES()
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for name in ("prepend_text", "append_text"):
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self.assertTrue(focused["optional"][name][1]["forceInput"])
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self.assertNotIn(
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"forceInput", PromptManager.INPUT_TYPES()["optional"][name][1]
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)
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self.assertEqual(focused["hidden"]["unique_id"], "UNIQUE_ID")
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def test_focused_encodes_composition_and_tracks_main_text_and_graph(self):
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node = PromptManagerFocused.__new__(PromptManagerFocused)
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node.logger = logging.getLogger("test.focused")
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node.comfyui_integration = mock.Mock()
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node._inject_lora_trigger_words = lambda text: text
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node._track_prompt_execution = mock.Mock(return_value=42)
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clip = mock.Mock()
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graph = {"1": {"class_type": "PromptManagerFocused", "inputs": {"text": "cat"}}}
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conditioning, text = node.encode_prompt(
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clip,
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"cat",
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prepend_text="trigger",
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append_text="detailed",
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prompt=graph,
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unique_id="1",
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)
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self.assertEqual(text, "trigger cat detailed")
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clip.tokenize.assert_called_once_with(text)
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self.assertIs(conditioning, clip.encode_from_tokens_scheduled.return_value)
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tracked = node._track_prompt_execution.call_args.kwargs
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self.assertEqual(tracked["text"], "cat")
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self.assertEqual(tracked["prompt_graph"], graph)
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def test_focused_is_traced_as_positive_and_not_as_the_negative_run(self):
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graph = {
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"1": {"class_type": "PromptManagerFocused", "inputs": {"text": "cat"}},
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"2": {"class_type": "PromptManagerFocused", "inputs": {"text": "blur"}},
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"3": {
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"class_type": "KSampler",
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"inputs": {
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"model": ["4", 0],
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"positive": ["1", 0],
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"negative": ["2", 0],
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},
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},
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}
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self.assertEqual(positive_prompt_nodes(graph), ["1"])
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self.assertEqual(run_prompt_nodes(graph), ["1"])
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