Cache H3 prompt analysis helpers

This commit is contained in:
2026-08-25 19:28:51 +00:00
parent d9de0243fc
commit 27d1b76cd5
2 changed files with 217 additions and 50 deletions
+137
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import importlib
import sys
import types
import unittest
class DumasH3LongVideosHelperTests(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls._saved_modules = {
name: sys.modules.get(name)
for name in (
"torch",
"nodes",
"comfy",
"comfy.utils",
"comfy.samplers",
"comfy.nested_tensor",
"comfy.model_management",
"node_helpers",
"dumas_h3_longvideos",
)
}
fake_torch = types.SimpleNamespace(
cuda=types.SimpleNamespace(OutOfMemoryError=RuntimeError),
float32="float32",
)
fake_nodes = types.SimpleNamespace(common_ksampler=lambda *args, **kwargs: ({},))
fake_comfy_samplers = types.SimpleNamespace(
KSampler=types.SimpleNamespace(SAMPLERS=("res_multistep",), SCHEDULERS=("simple",))
)
fake_comfy_utils = types.SimpleNamespace(ProgressBar=lambda total: None)
fake_mm = types.SimpleNamespace(
current_loaded_models=[],
free_memory=lambda *args, **kwargs: None,
get_torch_device=lambda: "cpu",
soft_empty_cache=lambda *args, **kwargs: None,
unload_all_models=lambda *args, **kwargs: None,
get_free_memory=lambda *args, **kwargs: 0,
get_total_memory=lambda *args, **kwargs: 0,
)
fake_comfy = types.SimpleNamespace(
utils=fake_comfy_utils,
samplers=fake_comfy_samplers,
nested_tensor=types.SimpleNamespace(),
model_management=fake_mm,
)
sys.modules["torch"] = fake_torch
sys.modules["nodes"] = fake_nodes
sys.modules["comfy"] = fake_comfy
sys.modules["comfy.utils"] = fake_comfy_utils
sys.modules["comfy.samplers"] = fake_comfy_samplers
sys.modules["comfy.nested_tensor"] = fake_comfy.nested_tensor
sys.modules["comfy.model_management"] = fake_mm
sys.modules["node_helpers"] = types.SimpleNamespace()
cls.module = importlib.import_module("dumas_h3_longvideos")
@classmethod
def tearDownClass(cls):
for name, module in cls._saved_modules.items():
if module is None:
sys.modules.pop(name, None)
else:
sys.modules[name] = module
def test_extract_wardrobe_is_cached(self):
fn = self.module.extract_wardrobe
fn.cache_clear()
beat = "walks forward\nwardrobe: red jacket, grey shorts\nlooks back"
self.assertEqual(fn(beat), ("walks forward\nlooks back", "red jacket, grey shorts"))
self.assertEqual(fn(beat), ("walks forward\nlooks back", "red jacket, grey shorts"))
self.assertGreater(fn.cache_info().hits, 0)
def test_dialogue_helpers_keep_existing_outputs_and_cache(self):
spans_cache = self.module._dialogue_spans_cached
sec_fn = self.module.dialogue_seconds
words_fn = self.module.dialogue_words
spans_cache.cache_clear()
sec_fn.cache_clear()
words_fn.cache_clear()
beat = 'Mara says, "Open it now." Jon replies, "Do it."'
self.assertEqual(self.module.dialogue_spans(beat), [3, 2])
self.assertEqual(words_fn(beat), 5)
self.assertAlmostEqual(sec_fn(beat), 3.5)
self.assertAlmostEqual(sec_fn(beat, pad=False), 2.5)
self.module.dialogue_spans(beat)
sec_fn(beat)
words_fn(beat)
self.assertGreater(spans_cache.cache_info().hits, 0)
self.assertGreater(sec_fn.cache_info().hits, 0)
self.assertGreater(words_fn.cache_info().hits, 0)
def test_directive_and_estimate_helpers_are_cached(self):
directive_fn = self.module.beat_seconds_directive
estimate_fn = self.module.estimate_beat_seconds
action_fn = self.module.action_clauses
directive_fn.cache_clear()
estimate_fn.cache_clear()
action_fn.cache_clear()
beat = 'seconds: 7.5\nShe opens the hatch and climbs inside.'
self.assertEqual(directive_fn(beat), 7.5)
self.assertEqual(action_fn(beat), 2)
self.assertAlmostEqual(estimate_fn(beat), 7.0)
directive_fn(beat)
action_fn(beat)
estimate_fn(beat)
self.assertGreater(directive_fn.cache_info().hits, 0)
self.assertGreater(action_fn.cache_info().hits, 0)
self.assertGreater(estimate_fn.cache_info().hits, 0)
def test_has_speech_cache_respects_written_text_filter(self):
fn = self.module.has_speech
fn.cache_clear()
written = 'She reads the sign marked "EXIT" and keeps walking.'
spoken = 'She says, "Exit now." and points to the door.'
self.assertFalse(fn(written))
self.assertTrue(fn(spoken))
fn(written)
fn(spoken)
self.assertGreaterEqual(fn.cache_info().hits, 2)
if __name__ == "__main__":
unittest.main()