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()