NubeBuster b711ac468a feat(usage-stats): add extractors for rgthree Power LoRA Loader and TensorRT Loader ...

Fixes #394 — LoRAs loaded via rgthree Power Lora Loader were not
tracked in usage statistics because no extractor existed for that node.

New extractors:
- RgthreePowerLoraLoaderExtractor: parses LORA_* kwargs, respects
  the per-LoRA 'on' toggle
- TensorRTLoaderExtractor: parses engine filename (strips _$profile
  suffix) as best-effort for vanilla TRT. If the output MODEL has
  attachments["source_model"] (set by NubeBuster fork), overrides
  with the real checkpoint name.

TensorRTRefitLoader and TensorRTLoaderAuto take a MODEL input whose
upstream checkpoint loader is already tracked — no extractor needed.

Also adds a name:<filename> fallback and warning log in both
_process_checkpoints and _process_loras when hash lookup fails.

2026-04-05 16:45:21 +02:00

..

__init__.py

Fix null-safety issues and apply code formatting

2026-02-28 21:38:41 +08:00

constants.py

Enhance node tracing logic and improve prompt handling in metadata processing. See #189

2025-05-17 15:40:05 +08:00

metadata_hook.py

fix(metadata_hook): correct function signature to fix bound method error

2026-03-22 13:25:04 +08:00

metadata_processor.py

feat(metadata_processor): enhance primary sampler selection logic

2025-12-19 01:30:08 +08:00

metadata_registry.py

Fix null-safety issues and apply code formatting

2026-02-28 21:38:41 +08:00

node_extractors.py

feat(usage-stats): add extractors for rgthree Power LoRA Loader and TensorRT Loader

2026-04-05 16:45:21 +02:00