c6c4378f38
P1 #1 + #2 + #6: extended the chat / diffusion / training identifier hardening to every export-side request model. ExportCommonOptions (parent of ExportMergedModelRequest / ExportBaseModelRequest / ExportLoRAAdapterRequest) now applies _no_control_chars and _reject_embedded_hf_token to repo_id and base_model_id; ExportGGUFRequest gets the same on its repo_id plus a control-char check on quantization_method; and LoadCheckpointRequest validates checkpoint_path. Previously "/api/export/*" accepted newline-smuggled identifiers and URL-form ``hf_xxxxx`` tokens that flowed into log lines. P1 #3 + #4: ``_run_with_helper`` and ``_run_multi_pass_advisor`` now use a shared ``_gpu_workload_busy_for_helper`` that gates on diffusion (round 22 already), training, AND export. The round 22 guard only checked diffusion, so the dataset helper / advisor could still load llama-server on top of an active training run or a resident export checkpoint. Each step fails closed (unverifiable status counts as busy) so the user's primary workload is preserved. P1 #5: PublishDatasetRequest in models/data_recipe.py also applies the identifier hardening to repo_id; the publish path previously accepted control characters and URL-form tokens. P1 #7-10: added _validate_logged_identifier helper to routes/models.py and applied it to the path / query parameter endpoints that flow into logger.info(...) calls -- ``/config/{model_name}``, ``/check-vision/{model_name}``, ``/check-embedding/{model_name}``, ``/gguf-variants``. Mapped the validator's ValueError to HTTP 422 so the client sees the same shape as a Pydantic validation failure. P2 #11 + #12: ``Loading diffusion model %s`` and ``Diffusion load failed for %s`` log lines route ``repo_id`` / ``effective_base`` through ``_display_repo_id`` (collapses absolute local paths to the leaf, still scrubs HF tokens) instead of plain ``_redact_hf_tokens``. The error path was already collapsed in the user-facing 400 / RuntimeError, but the structured-log lines kept the full path. All 97 diffusion + training-validation + related tests pass locally. |
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| .. | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| data_recipe.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| models.py | ||
| providers.py | ||
| responses.py | ||
| training.py | ||
| users.py | ||