Replace direct uses of the logging module and module-level loggers with the centralized log_system.log_funcs (log_debug/log_info/log_warn/log_error/log_exception) across multiple modules. Updated imports and removed unused logging.getLogger() instances in downloader, scanner, sources (civitai, huggingface, model_list, popular), workflow_analyzer, workflow_updater, and __init__.py. Minor message/text tweaks and import formatting applied; behavior unchanged aside from routing logs through the shared logging helpers.
Introduce a new logging subsystem under core/log_system (logger.py, config.py, log_funcs.py) implementing AzLogs (LogLevel enum, colored console output, optional file rotation) and a lightweight wrapper (log_debug/info/warn/error/exception) with safe fallback when AzLogs is unavailable. Integrate these log functions across many core modules (downloader, linker, matcher, scanner, workflow_analyzer, workflow_updater, sources and related files) and export logger and helper log functions from core.__init__. Replace several direct logging calls in linker with the new log_* helpers and update core.__init__ exports. Also include small code style and robustness tweaks (path/filename normalization, JSON/file handling, minor refactors and formatting fixes) to improve matching and model-list/popular lookups.
Enhance model linking with CivitAI integration and UI improvements.
- __init__.py: Expand model path resolution by building filename→path lookup (including no-ext keys) and using folder_paths to map common categories; add a /model_linker/civitai-search POST route that attempts metadata/hash-based lookup (or filename fallback) and returns CivitAI model/version info for the frontend.
- core/sources/civitai.py: Add hashing and metadata handling utilities: _get_sha256_hash, metadata discovery/reading, helpers to extract images/trained-words, get_model_info_by_hash and get_model_info_for_file (which prefers local metadata and otherwise queries CivitAI by hash). Also tidy/normalize existing search/resolve functions and add caching for hash lookups.
- web/linker.js: Add a right-click context menu for model chips with actions (Show Info, Open in CivitAI), implement dialog UI to display model info, and wire calls to the new civitai-search endpoint. Includes positioning/closing behavior and dialog population from returned data.
These changes enable accurate model identification via local metadata or sha256 lookups on CivitAI and provide convenient frontend actions to view model details or open CivitAI pages.
Add support for the gguf model format across the codebase and improve handling of nested/dict-type widget model references. Changes include:
- Add ".gguf" to model extension lists in core/linker.py, core/scanner.py, core/sources/huggingface.py, and core/workflow_analyzer.py so gguf files are detected and suggested.
- Update HuggingFace search/repo listing to consider gguf files and improve some request/response handling and logging.
- Improve scanner implementation: formatting/PEP8 cleanup, robust extension checks, normalized MODEL_EXTENSIONS set, safer path handling, and clearer logging.
- Add NESTED_MODEL_KEYS and logic in workflow_analyzer to detect model filenames stored inside dict-type widget values (e.g. rgthree Power Lora Loader) and record a nested_key for resolution.
- Propagate nested_key through apply_resolution mapping and update update_model_path to write resolved paths back into nested dict keys when present (instead of only replacing the top-level widget value).
- Update web UI (web/linker.js) regexes to strip/display gguf extensions in model name formatting.
These changes allow gguf models to be discovered, resolved and updated in workflows, and enable support for nodes that store model references inside nested dict fields.
Detect ComfyUI-AIR URNs in workflows, resolve them to expected filenames via the CivitAI API, and prefer those filenames for matching.
Key changes:
- core/workflow_analyzer.py: added URN_REGEX, URN_TYPE_MAP, is_model_filename() now recognizes URNs, and get_node_model_info() emits structured URN info (is_urn, urn fields, category, exists=False).
- core/sources/civitai.py: added resolve_urn(model_id, version_id) with caching, API fetch of model/version and primary file, and result shaping (model_name, version_name, expected_filename, files).
- core/linker.py: import resolve_urn and call it for missing URNs, attach civitai_info/expected_filename, and prefer expected_filename as matching target; cleaned up deduplication logic.
- web/linker.js: UI shows URN original plus resolved CivitAI model/version labels where available.
- TODO.md: added plan/notes for URN detection and next steps.
This improves detection and fuzzy matching for models referenced by URNs so missing model resolution is more accurate. Further matcher and updater enhancements remain TODOs.
Dariusz L