134 lines
4.1 KiB
Python
134 lines
4.1 KiB
Python
"""Unit tests for VideoConfig parsing and LoRASpec validation.
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Pure-python, no model imports, no CUDA, no ffmpeg. Safe for Windows CI.
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"""
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import pytest
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from server.video import VideoConfig, LoRASpec
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def test_defaults_when_raw_is_empty():
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cfg = VideoConfig.from_dict({})
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assert cfg.enabled is False
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assert cfg.backend == "lightx2v"
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assert cfg.mode == "reflective"
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assert cfg.resolution == 480
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assert cfg.fps == 16
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assert cfg.library_base_clip_count == 4
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assert cfg.reflective_prompt_reply_words == 18
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assert cfg.loras == []
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def test_defaults_when_raw_is_none():
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cfg = VideoConfig.from_dict(None) # type: ignore[arg-type]
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assert cfg.enabled is False
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def test_library_section_override():
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cfg = VideoConfig.from_dict(
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{"enabled": True, "mode": "library", "library": {"base_clip_count": 7, "base_clip_seconds": 3}}
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)
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assert cfg.enabled is True
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assert cfg.mode == "library"
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assert cfg.library_base_clip_count == 7
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assert cfg.library_base_clip_seconds == 3
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def test_reflective_section_override():
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cfg = VideoConfig.from_dict(
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{
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"reflective": {
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"clip_seconds": 9,
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"clip_prompt_template": "my template: {reply_hint}",
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"prompt_reply_words": 5,
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}
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}
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)
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assert cfg.reflective_clip_seconds == 9
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assert cfg.reflective_prompt_template == "my template: {reply_hint}"
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assert cfg.reflective_prompt_reply_words == 5
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def test_lora_parse_minimal():
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cfg = VideoConfig.from_dict({"loras": [{"path": "/tmp/a.safetensors"}]})
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assert len(cfg.loras) == 1
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lora = cfg.loras[0]
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assert lora.path == "/tmp/a.safetensors"
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assert lora.weight == 1.0
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assert lora.target == "both"
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assert lora.name is None
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def test_lora_parse_full():
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cfg = VideoConfig.from_dict(
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{
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"loras": [
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{
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"path": "/tmp/hi.safetensors",
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"weight": 0.7,
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"target": "high_noise",
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"name": "hi-noise-style",
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},
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{
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"path": "/tmp/lo.safetensors",
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"weight": 0.4,
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"target": "low_noise",
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"name": "lo-noise-style",
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},
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]
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}
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)
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assert len(cfg.loras) == 2
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assert cfg.loras[0].target == "high_noise"
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assert cfg.loras[0].name == "hi-noise-style"
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assert cfg.loras[1].target == "low_noise"
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assert cfg.loras[1].weight == 0.4
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def test_lora_invalid_target_falls_back_to_both():
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cfg = VideoConfig.from_dict(
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{"loras": [{"path": "/tmp/x.safetensors", "target": "bogus"}]}
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)
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assert cfg.loras[0].target == "both"
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def test_lora_entries_without_path_are_dropped():
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cfg = VideoConfig.from_dict(
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{"loras": [{"weight": 0.5}, {"path": "/tmp/ok.safetensors"}, None]}
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)
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assert len(cfg.loras) == 1
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assert cfg.loras[0].path == "/tmp/ok.safetensors"
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def test_models_section_override():
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cfg = VideoConfig.from_dict(
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{
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"models": {
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"wan22_base_repo": "/local/weights/wan22",
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"wan22_dit_repo": "/local/weights/wan22-dit",
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"wan22_dit_quant_scheme": "gguf-Q4_K_M",
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"wan22_config_json": "/local/cfg/fp8.json",
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"wan22_model_cls": "wan2.2_moe",
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"musetalk_path": "/local/weights/musetalk",
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}
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}
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)
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assert cfg.wan22_base_repo == "/local/weights/wan22"
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assert cfg.wan22_dit_repo == "/local/weights/wan22-dit"
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assert cfg.wan22_dit_quant_scheme == "gguf-Q4_K_M"
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assert cfg.wan22_config_json == "/local/cfg/fp8.json"
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assert cfg.wan22_model_cls == "wan2.2_moe"
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assert cfg.musetalk_model_path == "/local/weights/musetalk"
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def test_models_section_backwards_compat_fp8_repo():
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"""Old config key wan22_fp8_repo still works via fallback."""
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cfg = VideoConfig.from_dict(
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{
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"models": {
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"wan22_fp8_repo": "/local/weights/wan22-fp8",
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}
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}
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)
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assert cfg.wan22_dit_repo == "/local/weights/wan22-fp8"
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