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refactor: remove package-level caching to support dynamic installation

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Remove package-level caching in cnr_utils and node_package modules to enable
proper dynamic custom node installation and version switching without ComfyUI
server restarts.

Key Changes:
- Remove @lru_cache decorators from version-sensitive functions
- Remove cached_property from NodePackage for dynamic state updates
- Add comprehensive test suite with parallel execution support
- Implement version switching tests (CNR ↔ Nightly)
- Add case sensitivity integration tests
- Improve error handling and logging

API Priority Rules (manager_core.py:1801):
- Enabled-Priority: Show only enabled version when both exist
- CNR-Priority: Show only CNR when both CNR and Nightly are disabled
- Prevents duplicate package entries in /v2/customnode/installed API
- Cross-match using cnr_id and aux_id for CNR ↔ Nightly detection

Test Infrastructure:
- 8 test files with 59 comprehensive test cases
- Parallel test execution across 5 isolated environments
- Automated test scripts with environment setup
- Configurable timeout (60 minutes default)
- Support for both master and dr-support-pip-cm branches

Bug Fixes:
- Fix COMFYUI_CUSTOM_NODES_PATH environment variable export
- Resolve test fixture regression with module-level variables
- Fix import timing issues in test configuration
- Register pytest integration marker to eliminate warnings
- Fix POSIX compliance in shell scripts (((var++)) → $((var + 1)))

Documentation:
- CNR_VERSION_MANAGEMENT_DESIGN.md v1.0 → v1.1 with API priority rules
- Add test guides and execution documentation (TESTING_PROMPT.md)
- Add security-enhanced installation guide
- Create CLI migration guides and references
- Document package version management

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Dr.Lt.Data
2025-11-07 10:04:21 +09:00
parent d3906e3cbc
commit 43647249cf
62 changed files with 17790 additions and 10789 deletions
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@@ -1,106 +1,5 @@
{
"models": [
{
"name": "Comfy-Org/Wan2.2 i2v high noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v high noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_high_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v high noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v high noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v low noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v low noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_low_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v low noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v low noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v high noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v high noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_high_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v high noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v high noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v low noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v low noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_low_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v low noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v low noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 ti2v 5B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for ti2v 5B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_ti2v_5B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors",
"size": "10.0GB"
},
{
"name": "sam2.1_hiera_tiny.pt",
"type": "sam2.1",
@@ -687,6 +586,109 @@
"filename": "llava_llama3_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/text_encoders/llava_llama3_fp16.safetensors",
"size": "16.1GB"
},
{
"name": "PixArt-Sigma-XL-2-512-MS.safetensors (diffusion)",
"type": "diffusion_model",
"base": "pixart-sigma",
"save_path": "diffusion_models/PixArt-Sigma",
"description": "PixArt-Sigma Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
"filename": "PixArt-Sigma-XL-2-512-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-512-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
"size": "2.44GB"
},
{
"name": "PixArt-Sigma-XL-2-1024-MS.safetensors (diffusion)",
"type": "diffusion_model",
"base": "pixart-sigma",
"save_path": "diffusion_models/PixArt-Sigma",
"description": "PixArt-Sigma Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS",
"filename": "PixArt-Sigma-XL-2-1024-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
"size": "2.44GB"
},
{
"name": "PixArt-XL-2-1024-MS.safetensors (diffusion)",
"type": "diffusion_model",
"base": "pixart-alpha",
"save_path": "diffusion_models/PixArt-Alpha",
"description": "PixArt-Alpha Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS",
"filename": "PixArt-XL-2-1024-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
"size": "2.45GB"
},
{
"name": "Comfy-Org/hunyuan_video_t2v_720p_bf16.safetensors",
"type": "diffusion_model",
"base": "Hunyuan Video",
"save_path": "diffusion_models/hunyuan_video",
"description": "Huyuan Video diffusion model. repackaged version.",
"reference": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged",
"filename": "hunyuan_video_t2v_720p_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/diffusion_models/hunyuan_video_t2v_720p_bf16.safetensors",
"size": "25.6GB"
},
{
"name": "Comfy-Org/hunyuan_video_vae_bf16.safetensors",
"type": "VAE",
"base": "Hunyuan Video",
"save_path": "VAE",
"description": "Huyuan Video VAE model. repackaged version.",
"reference": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged",
"filename": "hunyuan_video_vae_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/vae/hunyuan_video_vae_bf16.safetensors",
"size": "493MB"
},
{
"name": "LTX-Video 2B v0.9.1 Checkpoint",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 24 FPS videos at a 768x512 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltx-video-2b-v0.9.1.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltx-video-2b-v0.9.1.safetensors",
"size": "5.72GB"
},
{
"name": "XLabs-AI/flux-canny-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-canny-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-canny-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/flux-depth-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-depth-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-depth-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/flux-hed-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-hed-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-hed-controlnet-v3.safetensors",
"size": "1.49GB"
}
]
}