"""Finalize: upload reproduction bundle as an HF Dataset, register the trackio artifact (so publish rewrites the Conclusion cell to a bucket URL), and add both the dataset and the logbook Space to the collection.""" import os, sys, glob from huggingface_hub import HfApi, upload_folder, create_repo, whoami, add_collection_item BASE = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, os.path.join(BASE, "src")) ME = whoami()["name"] DATASET = f"{ME}/mindflow-repro-bundle" COLLECTION = os.environ.get("MINDFLOW_COLLECTION", "") # slug SPACE = f"{ME}/repro-mindflow-mind-supernet-powered-thinking-flows-for-research-idea-innovation" IGNORE = ["llm_cache/*", "**/__pycache__/*", ".trackio/*", "tools/posterly/*", "or_*.json", "chal_*.json", "*.pyc", "paper.pdf", "outputs/poster/_poster_full.html", "or_notes.json"] def upload_dataset(): create_repo(DATASET, repo_type="dataset", exist_ok=True) upload_folder(folder_path=BASE, repo_id=DATASET, repo_type="dataset", ignore_patterns=IGNORE, commit_message="MindFlow reproduction bundle") print("dataset:", f"https://huggingface.co/datasets/{DATASET}", flush=True) def register_artifact(): import trackio # register from within the logbook workspace so publish uploads it to the bucket os.chdir(BASE) try: trackio.init(project="repro-mindflow-mind-supernet-powered-thinking-flows-for-research-idea-innovation") except Exception as e: print("trackio.init note:", str(e)[:120], flush=True) art = trackio.log_artifact(BASE, name="repro-bundle", type="dataset") print("registered artifact:", getattr(art, "name", art), flush=True) try: trackio.finish() except Exception: pass def add_to_collection(): if not COLLECTION: print("no collection slug set", flush=True); return for item_id, item_type in [(DATASET, "dataset"), (SPACE, "space")]: try: add_collection_item(COLLECTION, item_id=item_id, item_type=item_type, exists_ok=True) print("added to collection:", item_id, flush=True) except Exception as e: print("collection add note:", item_id, str(e)[:120], flush=True) if __name__ == "__main__": what = sys.argv[1:] or ["dataset", "collection"] if "dataset" in what: upload_dataset() if "artifact" in what: register_artifact() if "collection" in what: add_to_collection() print("finalize done.")