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